10X_3-rep1
c54c9659-1b6b-4d4a-96f0-7dc987410f2d
7,750
398e34a9-8736-4b27-a9a7-31a47a67f446
10X_3-rep2
9c1b5626-58df-4401-ae7b-f66d068c1551
7,750
398e34a9-8736-4b27-a9a7-31a47a67f446
10X_5-rep1
17e9d436-a264-4c94-a42d-48c8daf6fdd9
7,750
398e34a9-8736-4b27-a9a7-31a47a67f446
10X_5-rep2
a82c43bb-a703-446d-aa24-049bf013121f
7,750
398e34a9-8736-4b27-a9a7-31a47a67f446
3-prime FGID data
6ceeaa86-9ceb-4582-b390-6d4dd6ff0572
89,849
a064d795-3b77-44ae-9fb5-beb57c567443
49 years old male - Fresh PBMCs (1 day post-intubation)
c874f155-9bf9-4928-b821-f52c876b3e48
4,603
29f92179-ca10-4309-a32b-d383d80347c1
49 years old male - Fresh PBMCs (2 days post-intubation)
db59611b-42de-4035-93aa-1ed39f38b467
11,574
29f92179-ca10-4309-a32b-d383d80347c1
49 years old male - Fresh PBMCs (3 days post-intubation)
eeacb0c1-2217-4cf6-b8ce-1f0fedf1b569
9,337
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (2 days post-intubation)
881fe679-c6e0-45a3-9427-c4e81be6921f
7,097
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (3 days post-intubation)
ea786a06-5855-48b7-80d7-0313a21a2044
4,792
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (4 days post-intubation)
ed9e9f96-4f08-49d2-bef5-b2c29adf3edc
5,696
29f92179-ca10-4309-a32b-d383d80347c1
66 years old female - Fresh PBMCs (7 days post-intubation)
01c93cf6-b695-4e30-a26e-121ae8b16a9e
3,726
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (3 days post-intubation)
84230ea4-998d-4aa8-8456-81dd54ce23af
5,608
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (4 days post-intubation)
cab0bc48-744c-461b-aaf4-7bf2cb7af00d
5,080
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (7 days post-intubation)
79ef1959-a6b4-4cac-82ca-30feaec48df1
4,846
29f92179-ca10-4309-a32b-d383d80347c1
74 years old female - Fresh PBMCs (8 days post-intubation)
50eb1e23-b8d4-4f76-a184-44e5541fa05a
4,755
29f92179-ca10-4309-a32b-d383d80347c1
82 years old female - Fresh PBMCs (1 day post-intubation)
8a554710-08bc-4005-87cd-da9675bdc2e7
4,232
29f92179-ca10-4309-a32b-d383d80347c1
A (Balanced) Bone Marrow Reference Map of Hematopoietic Development
cd2f23c1-aef1-48ae-8eb4-0bcf124e567d
263,159
f6c50495-3361-40ed-a819-fb9644396ed9
A Single-Cell Atlas of Human White Adipose Tissue
ca46ffe6-0a26-4d8d-82fa-81722daf1102
166,149
fe0e718d-2ee9-42cc-894b-0b490f437dfd
A Single-Cell Transcriptional Roadmap of the Mouse and Human Lymph Node Lymphatic Vasculature - human
cfa3c355-ee77-4fc8-9a00-78e61d23024c
4,355
9c8808ce-1138-4dbe-818c-171cff10e650
A Single-Cell Transcriptome Atlas of the Human Pancreas
b07e5164-baf6-43d2-bdba-5a249d0da879
2,126
6e8c5415-302c-492a-a5f9-f29c57ff18fb
A Unique Cellular Organization of Human Distal Airways and Its Disarray in Chronic Obstructive Pulmonary Disease
b61a921b-7fa3-4b42-b455-aaaf32447920
115,788
4f30b962-d49b-4624-a233-64f048cf8632
A molecular cell atlas of endocrine signalling in human neural organoids
64267fb5-7b70-4705-a13b-cc38966c22a8
163,714
2bebc4ae-69a2-4001-9d2f-091ec9b4020c
A molecular single-cell lung atlas of lethal COVID-19
d8da613f-e681-4c69-b463-e94f5e66847f
116,313
e4c9ed14-e560-4900-a3bf-b0f8d2ce6a10
A multi-tissue single-cell tumor microenvironment atlas
b617ee1b-f8c8-4de9-b82b-e803ab93550d
391,963
3f7c572c-cd73-4b51-a313-207c7f20f188
A proximal-to-distal survey of healthy adult human small intestine and colon epithelium by single-cell transcriptomics
019c7af2-c827-4454-9970-44d5e39ce068
12,590
64b24fda-6591-4ce1-89e7-33eb6c43ad7b
A single-cell and spatially-resolved atlas of human breast cancers
9fddb063-056d-4202-8b8a-4b0ee531d3ce
100,064
dea97145-f712-431c-a223-6b5f565f362a
A single-cell atlas of the healthy breast tissues reveals clinically relevant clusters of breast epithelial cells
de985818-285f-4f59-9dbd-d74968fddba3
31,696
c9706a92-0e5f-46c1-96d8-20e42467f287
A total of 27,092 droplet-based single-nucleus transcriptomes profiled across 11 cell types in the choroid plexus
595c9010-99ec-462d-b6a1-2b2fe5407871
27,092
59c9ecfe-c47d-4a6a-bab0-895cc0c1942b
A total of 38,217 droplet-based single-nucleus transcriptomes profiled across 14 cell types in the frontal cortex
2f05ab20-a092-4bab-9276-3e0eb24e3fee
38,217
59c9ecfe-c47d-4a6a-bab0-895cc0c1942b
AIDA Phase 1 Data Freeze v1: Chinese, Indian, Japanese, Korean, and Malay donors in Japan, Singapore, and South Korea
b0e547f0-462b-4f81-b31b-5b0a5d96f537
1,058,909
ced320a1-29f3-47c1-a735-513c7084d508
AIDA Phase 1 Data Freeze v2: Chinese, Indian, Japanese, Korean, Malay, and Thai donors in Japan, Singapore, South Korea, Thailand, and India
c838aec3-03ef-4398-b882-0e3912abfff0
1,265,624
ced320a1-29f3-47c1-a735-513c7084d508
Activated PBMCs - Expanded cohort CITE-seq
3c75a463-6a87-4132-83a8-c3002624394d
95,064
bf325905-5e8e-42e3-933d-9a9053e9af80
Activated PBMCs - Twins scRNA-seq
d7d7e89c-c93a-422d-8958-9b4a90b69558
16,901
bf325905-5e8e-42e3-933d-9a9053e9af80
Adult bladder immune subset
601c7454-17ff-432c-8e0d-902bfddb8013
2,094
0e54d4de-44f0-4d50-8649-b5c2bbe8f5d1
Adult bladder stromal subset
2dd9d7a2-4bee-4c3f-a1f5-89bc3271c4f0
12,964
0e54d4de-44f0-4d50-8649-b5c2bbe8f5d1
Adult bladder urothelial subset
8e5978bd-0e48-4a09-a92d-fa2985059f05
14,776
0e54d4de-44f0-4d50-8649-b5c2bbe8f5d1
Adult duodenum
ee195b7d-184d-4dfa-9b1c-51a7e601ac11
5,200
dfc09a93-bce0-4c77-893d-e153d1b7f9fa
Adult ureter trio
12c3efd8-d515-42e6-b93c-4961e599d524
13,161
af286675-7167-4816-a907-c72d41b73d37
Airway
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
236,977
03f821b4-87be-4ff4-b65a-b5fc00061da7
All
13149914-ea03-4f01-8bf6-b793b667127b
1,665,937
4d8fed08-2d6d-4692-b5ea-464f1d072077
All Cells
16023185-de21-4c0d-a9c8-73abdd52d142
370,115
4d82bd8e-8827-410b-8fc7-685b7dd92585
All Cells - snRNA-seq
ac0c6561-7a48-4185-af6f-af799f699172
432,555
c53573b2-eff4-4c5e-9ad0-b24d422dfd9b
All annotated cells from infection 1
2ac76f1b-43ef-4271-8686-2f165570989f
48,226
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All annotated cells from infection 2
7f7faf6b-f11d-4f07-bc1c-188a4472748d
134,076
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All annotated cells from infection 3
7b55fe5c-d5c8-48e0-a1a3-54c5b9074f3f
125,530
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All annotated cells from infection 4
7c497c66-c2e2-4291-8b96-339e5e65f314
76,298
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
All cell types of human eye
e6dad530-418b-47f9-af6e-472e56a7b314
100,055
939769a8-d8d2-4d01-abfc-55699893fd49
All cells
3dc61ca1-ce40-46b6-8337-f27260fd9a03
71,752
2d2e2acd-dade-489f-a2da-6c11aa654028
All cells and nuclei
093d3bfe-6f0f-4ac0-a7a1-829f94d0a49f
193,108
c1241244-b22d-483d-875b-75699efb9f3c
All cells from human cardiac tissue with myocarditis and healthy controls
fe7aae33-6f7c-41a5-8d29-9996a9ddf1ab
205,596
328d71f0-0ed7-4518-966f-be6bd0797324
All cells from human liver dataset
e84f2780-51e8-4cfa-8aa0-13bbfef677c7
167,598
74e10dc4-cbb2-4605-a189-8a1cd8e44d8c
All cells type from five healthy donors
8f3e7fcf-0b16-4a29-a5f1-a7a8b267d689
50,992
ab6823e0-506e-461b-b1f9-d30e69a01687
All cells types from scRNA-seq of human primary sclerosing cholangitis patients and healthy controls
02792605-4760-4023-82ad-40fc4458a5db
89,637
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
All cells types from snRNA-seq of human primary sclerosing cholangitis patients and healthy controls
1873a18a-66fd-4a4d-8277-a872c93f5b59
105,780
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
All donors all cell states (in vivo)
74cff64f-9da9-4b2a-9b3b-8a04a1598040
325,665
e2c257e7-6f79-487c-b81c-39451cd4ab3c
All major cell types in adult human retina
0129dbd9-a7d3-4f6b-96b9-1da155a93748
244,474
af893e86-8e9f-41f1-a474-ef05359b1fb7
All — Cells of the adult human heart
d4e69e01-3ba2-4d6b-a15d-e7048f78f22e
486,134
b52eb423-5d0d-4645-b217-e1c6d38b2e72
All-snRNA-Spatial multi-omic map of human myocardial infarction
1c739a3e-c3f5-49d5-98e0-73975e751201
191,795
8191c283-0816-424b-9b61-c3e1d6258a77
All_cells
58f43044-cd3c-42b8-bc0b-3498eb236359
156,726
7d66d871-091f-4602-9f42-85f86d2853e0
Amacrine cells of the human fovea and peripheral retina
5cdbb2ea-c622-466d-9ead-7884ad8cb99f
13,607
1d1c7275-476a-49e2-9022-ad1b1c793594
AmyG region
f3c49918-4707-4d92-bb6d-2b5b4eb9d1b4
15,177
22ccff12-9a18-4b01-ba10-302df57a01f8
An Integrated Single Cell Meta-atlas of Human Periodontitis
9fcb0b73-c734-40a5-be9c-ace7eea401c9
105,918
71f4bccf-53d4-4c12-9e80-e73bfb89e398
An integrated cell atlas of the human lung in health and disease (full)
9f222629-9e39-47d0-b83f-e08d610c7479
2,282,447
6f6d381a-7701-4781-935c-db10d30de293
Anomalous Epithelial Variations and Ectopic Inflammatory Response in Chronic Obstructive Pulmonary Disease
8fbed309-d3d4-441b-b3ff-e2dcbcec2d35
57,918
dc4cd1f7-667a-4c29-ae77-9401b9700d7f
Astro - neocortex: Human variation study (HVS)
ea95cdd5-cf7e-4d5d-a0bd-032776d32ae5
16,319
35928d1c-36fc-4f93-9a8d-0b921ab41745
Autoimmunity PBMCs
c2a461b1-0c15-4047-9fcb-1f966fe55100
97,499
eb735cc9-d0a7-48fa-b255-db726bf365af
B cells from human healthy donor liver samples
4993d61c-1d04-4630-9c61-8d9431f39adc
1,250
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
BCC and Normal - scRNA-seq data
e7c5ba7e-4be0-4696-af50-a07d0dc7aac5
152,189
34f12de7-c5e5-4813-a136-832677f98ac8
Bipolar cells of the human fovea and peripheral retina
8623d55f-d91c-41c2-ae68-ed2072fd268d
25,908
1d1c7275-476a-49e2-9022-ad1b1c793594
Bone marrow organoids (BMO)
78c62d4e-abf1-405b-bb51-368720814529
31,040
59cd85c5-3b22-4035-b628-2a20810ad54b
Bronchial scRNA-Seq Dataset
d2bc2703-a9b5-4949-b85d-61da7b9961b1
2,075
af500bec-a5d6-4569-9f50-4314f2e7a011
Bronchopulmonary dysplasia
d68a8b48-abf0-4bd5-8834-155d34ec448a
271,381
3a5dbf8a-9b3e-4309-b4c5-d8a024f83734
CAREBANK
8f4f8502-9170-4ac2-9707-3b6985ebfe5f
221,756
8c782494-01ed-491b-97b9-6f0d3b76c676
CD19-CARpos and CARneg T cells
460dfe21-0550-4521-92fe-db0f3036d8b0
18,122
14dc301f-d4fb-4743-a590-aa88d5f1df1a
CD34+ Fetal Bone Marrow, Fetal Liver, Cord Blood (CITE-seq)
471647b3-04fe-4c76-8372-3264feb950e8
27,998
793fdaec-5067-428a-a9db-ecefe135c945
CITEseq of JDM PBMCs
a199ca73-035d-44e2-9893-4c493151db21
105,827
c672834e-c3e3-49cb-81a5-4c844be4a975
COMBAT project: single cell gene expression data from COVID-19, sepsis and flu patient PBMCs
ebc2e1ff-c8f9-466a-acf4-9d291afaf8b3
836,148
8f126edf-5405-4731-8374-b5ce11f53e82
Cells of the human fetal kidney
8dc29642-be06-46dc-a289-8075915745d4
17,962
981b0c87-76d0-4edf-b201-58c52b5cd2f0
Cellular and transcriptional diversity over the course of human lactation
0920bcb8-4b3a-4e9d-a353-56f529fd3b32
48,478
e77163ca-8214-4e86-8b37-4f65a2ddae13
Central Cornea
a4157949-6f2a-40e2-b960-63f6e2bde918
37,485
63d03351-06be-478e-a0db-f7a653b6b19b
Chandelier - neocortex: Human variation study (HVS)
6929d6d1-6f81-44d7-bd35-5a580259af81
1,875
35928d1c-36fc-4f93-9a8d-0b921ab41745
Cholangiocytes from human healthy donor liver samples
0c9a8cfb-6649-4d52-b418-6d8e56bd7afe
1,011
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Ciliary Body
1196334f-a441-474a-95ee-400780941690
34,132
63d03351-06be-478e-a0db-f7a653b6b19b
Circulating Immune cells -- CV19 infection, vaccination and HC
242c6e7f-9016-4048-af70-d631f5eea188
189,902
ecb739c5-fe0d-4b48-81c6-217c4d64eec4
Colon
2872f4b0-b171-46e2-abc6-befcf6de6306
41,650
7681c7d7-0168-4892-a547-6f02a6430ace
Colon
4e74d843-8d7a-497a-918a-f079ef141b6d
4,329
ff668d5d-5b3f-49ee-a007-ff0664bf35ec
Combined human neural dataset
b62f728b-a7eb-4889-8162-b3d457de93b9
43,485
847fafc3-41a1-4a0d-9461-0328c88e9b13
Combined samples
576f193c-75d0-4a11-bd25-8676587e6dc2
147,137
62e8f058-9c37-48bc-9200-e767f318a8ec
Combined single cell and single nuclei RNA-Seq data - Heart Global
d567b692-c374-4628-a508-8008f6778f22
704,296
3116d060-0a8e-4767-99bb-e866badea1ed
CortexCultures4Days11DaysInVitro
4b83f213-b96b-4c87-a884-9b81faddb194
22,370
644927a3-456b-4e64-b7cd-76547bfc694d
CortexCulturesOneMonthInVitro
6fc37633-13f5-4bf0-af95-52808143bffd
2,988
644927a3-456b-4e64-b7cd-76547bfc694d
CortexCulturesTwoWeeksInVitro
3e55180c-780a-4424-9434-5296640ffc0d
7,774
644927a3-456b-4e64-b7cd-76547bfc694d
Cross-sectional
3241c34f-581a-4de3-81fe-28e3de182680
17,308
126afc71-47fb-4e9d-8aaf-9d9f61e0ac77
DCM/ACM heart cell atlas: All cells
65badd7a-9262-4fd1-9ce2-eb5dc0ca8039
881,081
e75342a8-0f3b-4ec5-8ee1-245a23e0f7cb
DLPFC region
07dd8c34-4625-480a-8ee4-273a06c3082b
11,202
22ccff12-9a18-4b01-ba10-302df57a01f8
Developing Human Atlas
9968be68-ab65-4a38-9e1a-c9b6abece194
155,232
dfc09a93-bce0-4c77-893d-e153d1b7f9fa
Dissection: Amygdaloid complex (AMY) - Basolateral nuclear group (BLN) - lateral nucleus - La
7d3ab174-e433-40fc-a352-6fe71b1a19f9
28,984
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Amygdaloid complex (AMY) - Central nuclear group - CEN
7b316f62-7fa0-4b95-bac9-e90866038a85
42,699
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Amygdaloid complex (AMY) - Corticomedial nuclear group (CMN) - anterior cortical nucleus - CoA
2a8ca8f3-5599-4cda-b973-3a2dfc3c1fe6
10,778
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Amygdaloid complex (AMY) - basolateral nuclear group (BLN) - basolateral nucleus (basal nucleus) - BL
fe1a73ab-a203-45fd-84e9-0f7fd19efcbd
35,285
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Amygdaloid complex (AMY) - basolateral nuclear group (BLN) - basomedial nucleus (accessory basal nucleus) - BM
4593c820-512d-4805-a10f-c0b864a7cc8c
31,090
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Amygdaloid complex (AMY) - corticomedial nuclear group - CMN
1185a7d3-a9c1-4280-9ba5-d61895b15cac
38,331
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Angular gyrus (AnG)
f5b0810c-1664-4a62-ad06-be1d9964aa8b
110,752
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Anterior cingulate cortex (ACC)
be401db3-d732-408a-b0c4-71af0458b8ab
135,462
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Basal forebrain (BF) - septal nuclei - SEP
70e4f35b-c98c-45a1-9aa9-2053b07315dd
40,815
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Basal forebrain (BF) - substantia innominata and nearby nuclei - SI
43b7e156-65b3-4a7b-8c7a-08528e4b21d0
38,205
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Basal nuclei (BN) - Body of the Caudate - CaB
529bb209-9d7b-44da-bfa4-f6e4745c46c2
32,678
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Basal nuclei (BN) - Globus pallidus (GP) - External segment of globus pallidus - GPe
18500fcd-9960-49cb-8a8e-7d868dc14efe
50,830
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Basal nuclei (BN) - Globus pallidus (GP) - Internal segment of globus pallidus - GPi
ca20e2ac-5676-4158-b5d0-0c2b15898b19
33,968
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Basal nuclei (BN) - Nucleus Accumbens - NAC
40318d39-3d8f-49f4-8455-a2e1365c5c5b
30,132
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Basal nuclei (BN) - Putamen - Pu
f5a04dff-d394-4023-8811-65494e8bb11d
34,416
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Body of hippocampus (HiB) - Rostral CA1-2
c4dd26a8-d956-4bee-a233-44b573f2ce27
11,265
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Body of hippocampus (HiB) - Rostral CA1-CA3
182f6a56-7360-4924-a74e-1772e07b3031
28,724
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Body of hippocampus (HiB) - Rostral CA3
d5452b83-7c3d-4d7c-ab7a-c7fece7196c5
8,077
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Body of hippocampus (HiB) - Rostral DG-CA4
715327a6-7978-4896-ba91-69d6b04dbbfb
40,191
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebellum (CB) - Cerebellar Vermis - CBV
4976b234-9028-4b4b-8a2f-8ac59d636219
71,874
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebellum (CB) - Cerebellar deep nuclei - CbDN
095940cb-7422-4510-96e2-cbafd961eb88
52,045
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebellum (CB) - Lateral hemisphere of cerebellum - CBL
a59ba9fa-1407-4f15-8c56-d3637421570d
28,028
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Anterior parahippocampal gyrus (AG) - Lateral entorhinal cortex - LEC
46ff9dc2-3d87-4b36-91aa-ffa8aa13c52e
32,745
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Anterior parahippocampal gyrus, posterior part (APH) - Medial entorhinal cortex - MEC
52ea546e-9229-40ef-b048-a2e694dd73e8
50,362
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Caudal cingulate gyrus (CgGC) - A23
e5b1115b-a486-49bb-bda3-8261822836e0
35,359
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Cingulate gyrus, retrosplenial (CgGrs) - A29-A30
a84face4-eb30-4f43-994f-c6a13a097808
34,078
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Cingulate gyrus, rostral (CgGr) - Ventral division of MFC - A24
3f31f8ce-bbf6-4df8-8203-aa240ed03026
32,157
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Cuneus, caudal part - Peristriate Cortex - V2
ed33c203-233a-476a-a56b-28da945fdd32
32,638
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Cuneus, rostral part - Area Prostriata - Pro
ff7d15fa-f4b6-4a0e-992e-fd0c9d088ded
28,051
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Frontal agranular insular cortex - FI
421e5f54-5de7-425f-b399-34ead0651ce1
34,949
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Gyrus rectus (ReG) - Medial orbitofrontal cortex - A14
c7856243-c59a-4b70-8ce7-25b94c2d9da1
14,352
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Inferior frontal gyrus (IFG) - Ventrolateral prefrontal cortex - A44-A45
6ed0bb6c-a9e3-4ba6-9436-7c8fd4e206f0
38,259
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Inferior temporal gyrus - ITG
1cf24082-59de-4029-ac81-6e398768af3a
29,522
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Long insular gyri (LIG) - Dysgranular insular cortex - Idg
27d91086-cfe3-4e33-9282-bd1246e5ce8e
39,696
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Middle Temporal Gyrus - MTG
e1f595f6-ba2c-495e-9bee-7056f116b1e4
107,301
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Middle frontal gyrus (MFG) - A46
db1d2c1b-2ee1-45d5-9d53-69a327cd77e6
31,065
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Occipitotemporal (fusiform) gyrus, temporal part (FuGt) - Temporal area TF
f8dda921-5fb4-4c94-a654-c6fc346bfd6d
31,899
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Parietal operculum (PaO) - Gustatory cortex - A43
7db0c178-b0a4-442f-ba54-e9e1633a84bb
42,834
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Perirhinal gyrus (PRG) - A35-A36
dd03ce70-3243-4c96-9561-330cc461e4d7
23,732
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Posterior intermediate orbital gyrus (POrG) - Caudal division of OFCi - A13
d582f63a-3c88-4e38-8cd3-8682dbe40f64
34,919
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Posterior parahippocampal gyrus (PPH) - TH-TL
a19b218b-1c0a-4618-b41f-7c216c623ec6
40,677
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Precentral gyrus (PrCG) - Primary motor cortex - M1C
f32c2c13-bb1a-4ffd-a457-60b64ecfa4cb
116,576
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Rostral gyrus (RoG) - Dorsal division of MFC - A32
4d43082e-59cd-43ac-b77d-54d55519c881
24,808
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Short insular gyri - Granular insular cortex - Ig
949ec7fc-ac54-47c9-bb6f-ee9e67688cce
38,937
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Subcallosal Gyrus (SCG) - Subgenual (subcallosal) division of MFC - A25
77c1c785-809f-4065-8c54-6a0170783256
37,767
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Superior Temporal Gyrus - STG
88a01d4a-5197-45be-b5ae-e019aef43376
40,565
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Superior occipital gyrus (SOG) - Areas 19 and MT - A19
fa554686-fc07-44dd-b2de-b726d82d26ec
29,674
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Supramarginal gyrus (SMG) - A40
d288b10a-643e-44bd-b451-96e9588b2ee5
39,053
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Supraparietal lobule (SPL) - Posterosuperior (dorsal) parietal cortex - A5-A7
639ffc23-14db-4060-9027-3c90314200f8
35,290
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Temporal pole (TP) - Temporopolar area - A38
c2aad8fc-b63b-4f9b-9cfd-baf7bc9c1771
37,642
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Claustrum - Cla
31f04740-c712-4c4b-a3f8-55c0506b3034
40,165
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Dorsolateral prefrontal cortex (DFC)
716a4acc-919e-4326-9672-ebe06ede84e6
113,339
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Epithalamus - ETH
93131426-0124-4ab4-a013-9dfbcd99d467
24,327
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Extended amygdala (EXA) - Bed nucleus of stria terminalis and nearby - BNST
1b767f95-d0a0-4a3d-b394-cc665d86c3dc
34,933
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Head of hippocampus (HiH) - Tail of Hippocampus (HiT) - Subicular cortex - Sub
19b21f40-db42-4a71-a0d6-913e83b17784
41,568
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Head of hippocampus (HiH) - Uncal CA1
acae7679-d077-461c-b857-ee6ccfeb267f
39,147
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Head of hippocampus (HiH) - Uncal CA1-CA3
3f56901c-dd4a-47d6-b60b-7b0c0111cfb2
37,911
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Head of hippocampus (HiH) - Uncal CA2-CA3
bac09168-940b-4b11-8d55-b4955f80b98d
12,461
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Head of hippocampus (HiH) - Uncal DG-CA4
4724c395-0c46-46d2-81f7-60fd271fb488
35,350
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - mammillary region of HTH (HTHma)
00476f9f-ebc1-4b72-b541-32f912ce36ea
10,099
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - mammillary region of HTH (HTHma) - mammillary nucleus - MN
5bc23cb2-8cfc-4960-bab1-c3027fbeefc4
28,155
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - mammillary region of HTH (HTHma) - tuberal region of HTH - HTHtub
f20f44ef-a0d4-4d94-87de-037fd47141f0
18,728
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - preoptic region of HTH - HTHpo
64767efb-49b0-4562-a1bd-e619a5d9db41
14,979
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - preoptic region of HTH - HTHpo (medial preoptic nucleus, MPN) - supraoptic region of HTH - HTHso (paraventricular nucleus, PV)
03d38670-1444-4001-bc53-9936e61d9b20
20,027
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - supraoptic region of HTH - HTHso
22658f4f-9268-41ad-8828-cc53f4baa9fa
12,557
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - supraoptic region of HTH - HTHso (anterior hypothalamic nucleus, AHN) - tuberal region of HTH - HTHtub (ventromedial and dorsomedial hypothalamic nucleic nuclei, VMH, DMH)
35c8a04c-8639-4d15-8228-765d8d93fc96
16,753
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Hypothalamus (HTH) - tuberal region of hypothalamus - HTHtub
40569510-2282-461b-84df-6218ef208e0e
13,173
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Inferior colliculus and nearby nuclei - IC
5e5ab909-f73f-4b57-98a0-6d2c5662f6a4
32,306
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Periaqueductal gray and Dorsal raphe nucleus - PAG-DR
c5cfa2b7-abb1-4a50-908f-707b54ca606b
14,094
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Periaqueductal gray and nearby nuclei - PAG
9372df2d-13d6-4fac-980b-919a5b7eb483
33,794
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Pretectal region - PTR
d6a5b240-cc8f-45c1-ad36-2fc291e15e8e
25,875
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Substantia Nigra - SN
52f18bc3-52d9-487b-bf8f-f0b7aa684b09
59,505
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Substantia Nigra, Red Nucleus, and nearby nuclei - SN-RN
9ec34295-ab16-47e2-af33-b884143e520b
49,110
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (M) - Superior colliculus and nearby nuclei - SC
a4116666-d295-4443-a174-0acc283f92c4
29,907
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Midbrain (RN) - Red Nucleus - RN
470565f2-5afc-456a-b617-18e4496c04fd
4,714
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Myelencephalon (medulla oblongata) (Mo) - afferent nuclei of cranial nerves in medulla oblongata - MoAN
07b1d7c8-5c2e-42f7-9246-26f746cd6013
27,210
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Myelencephalon (medulla oblongata) (Mo) - medullary reticular formation (MoRF) & efferent nuclei of cranial nerves in the medulla oblongata (MoEN) - MoRF-MoEN
f9034091-2e8f-4ac6-9874-e7b7eb566824
23,120
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Myelencephalon (medulla oblongata) (Mo) - precerebellar nuclei (PrCbN) - inferior olive - IO
1a018108-b4b6-457b-ba15-046d5e98c169
21,534
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Myelencephalon (medulla oblongata) (Mo) - sensory relay nuclei in medulla oblongata - MoSR
0ee5ae70-c3f5-473f-bd1c-287f4690ffc5
13,623
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Paleocortex (PalCx) - Anterior Olfactory Nucleus - AON
f502c312-05dc-4fd4-a762-92a63e92b539
31,230
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Paleocortex (PalCx) - Piriform cortex - Pir
d02287f3-408b-438d-9131-999e460cbd0e
36,941
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Perirhinal cortex (area 35) (A35) - rostral subdivision of area 35 - A35r
8039c63d-08b0-4fc9-af0f-5b57f08ca0da
17,535
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Pons (Pn) - Pontine Nucleus - PN
64f4ad90-a422-400a-944d-4ce0f39594a7
33,641
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Pons (Pn) - Pontine reticular formation (PnRF) - parabrachial nuclei - PB
f3565fda-499a-4d20-bd92-563c09954c42
24,155
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Pons (Pn) - Pontine reticular formation - PnRF
7c1c3d47-3166-43e5-9a95-65ceb2d45f78
49,512
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Pons (Pn) - afferent nuclei of cranial nerves in pons - PnAN
77044335-0ac5-4406-9b3f-8cdd3656d67b
23,349
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Pons (Pn) - efferent nuclei of cranial nerves in pons - PnEN
900fdf13-150d-4695-9f8c-4c09105ba2eb
47,416
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Pons (Pn) - other nuclei in pontine tegmentum (XPnTg) - dorsal tegmental nucleus - DTg
7cd3c321-e487-4b51-a8af-9bf671b59fe5
26,095
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Primary auditory cortex(A1)
e2808a6e-e2ea-41b9-b38c-4a08f1677f02
139,054
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Primary somatosensory cortex (S1)
93cb76aa-a84b-4a92-8e6c-66a914e26d4c
153,159
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Primary visual cortex(V1)
8d1dd010-5cbc-43fb-83f8-e0de8e8517da
241,077
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Spinal cord - SpC
090da8ea-46e8-40df-bffc-1f78e1538d27
24,190
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Tail of Hippocampus (HiT) - Caudal Hippocampus - CA1-CA3
d2b5efc1-14c6-4b5f-bd98-40f9084872d7
36,886
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Tail of Hippocampus (HiT) - Caudal Hippocampus - CA4-DGC
9f499d32-400d-4c42-ac9a-fb1481844fee
56,367
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - Anterior nuclear complex - ANC
e8681d74-ac9e-4be5-be14-1cf1bbd54dd7
31,307
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - Lateral nuclear complex (LNC) - ventral anterior nucleus of thalamus - VA
ed11cc3e-2947-407c-883c-c53b043917c3
8,573
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - Lateral nuclear complex of thalamus (LNC) - ventral group of lateral nucleus - VLN
a7b4f565-691d-43ea-bf4a-d2d1d52bb4b4
27,111
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - Subthalamic nucleus and nearby - STH
a5b5d1f3-dd8b-44f6-a685-15f0f741c062
20,162
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - intralaminar nuclear complex (ILN) - posterior group of intralaminar nuclei (PILN) - centromedian and parafasicular nuclei - CM and Pf
367b55f4-d543-49aa-90e8-4765fcb8c687
24,354
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - intralaminar nuclear complex (ILN) - posterior group of intralaminar nuclei (PILN) - centromedian nucleus of thalamus - CM
364348b4-bc34-4fe1-a851-60d99e36cafa
12,944
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - lateral nuclear complex of thalamus (LNC) - Pulvinar of thalamus - Pul
ecd9230d-c571-4dab-abd3-8b54c74833f0
46,453
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - lateral nuclear complex of thalamus (LNC) - lateral posterior nucleus of thalamus + ventral posterior lateral nucleus - LP + VPL
fbf173f9-f809-4d84-9b65-ae205d35b523
17,660
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - lateral nuclear complex of thalamus (LNC) - lateral posterior nucleus of thalamus - LP
381aa407-317a-40ef-8048-7ce0eacc4266
26,172
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - lateral nuclear complex of thalamus (LNC) - ventral posterior lateral nucleus - VPL
f6d9f2ad-5ec7-4d53-b7f0-ceb0e7bcd181
6,877
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - medial nuclear complex of thalamus (MNC) - mediodorsal nucleus of thalamus + reuniens nucleus (medioventral nucleus) of thalamus - MD + Re
b8681124-aabf-4904-b9c9-66d834bf5bba
13,382
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - medial nuclear complex of thalamus (MNC) - mediodorsal nucleus of thalamus - MD
5a73f63f-18a2-49b5-b431-2c469c41a41b
20,916
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - posterior nuclear complex of thalamus (PoN) - lateral geniculate nucleus (LG)
d2514440-d747-4d8d-b2c7-b58ef8b71fbe
48,856
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - posterior nuclear complex of thalamus (PoN) - medial geniculate nuclei (MG)
adda0684-f8ea-4403-b393-2a25607077c4
14,226
283d65eb-dd53-496d-adb7-7570c7caa443
Endo - neocortex: Human variation study (HVS)
4859642c-d155-437b-adf5-83ca6c1bef67
582
35928d1c-36fc-4f93-9a8d-0b921ab41745
Endothelial cells from human healthy donor liver samples
4ce8d8ec-b94c-4b79-afcb-b094336d8a78
9,422
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Epithelial Compartment
ed880090-465d-4477-9d98-70838ca288e3
242,613
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Epithelial bcc and normal_scRNAseq
14363b6e-3428-45b0-8704-10fd5d6316df
9,841
34f12de7-c5e5-4813-a136-832677f98ac8
Epithelial cells collected from 30 segments across the proximal (1) to distal (30) ends of the human small intestine.
b6ee0939-b5b9-4e03-9d69-96fb6bf5d434
19,200
3db5617e-9f12-4eb4-8416-94893a0d7c46
Esophagus Epithelium
b07fb54c-d7ad-4995-8bb0-8f3d8611cabe
87,947
4d74781b-8186-4c9a-b659-ff4dc4601d91
Extended GBmap
56c4912d-2bae-4b64-98f2-af8a84389208
1,135,677
999f2a15-3d7e-440b-96ae-2c806799c08c
Extended+ - 18485 genes
19053a82-9c89-4fb8-bd19-d7b1800b0b7b
1,596,200
f11cb29c-b546-4738-9bd8-66ea621a7bd5
Fallopian tube RNA
90d4a63b-5c02-43eb-acde-c49345681601
60,574
d36ca85c-3e8b-444c-ba3e-a645040c6185
Fallopian tube samples from pre- and post-menopausal humans
0436a180-cb44-47ba-8ffa-807b7a468469
131,218
380ade76-e561-49a8-afb2-0f10b39c2c72
Fetal Bone Marrow (10x)
1a2e3350-28a8-4f49-b33c-5b67ceb001f6
103,228
793fdaec-5067-428a-a9db-ecefe135c945
Fetal Bone Marrow (10x) - Down Syndrome
86282760-5099-4c71-8cdd-412dcbbbd0b9
16,743
793fdaec-5067-428a-a9db-ecefe135c945
Fetal Human Gut (6-11 PCW)
b46237d1-19c6-4af2-9335-9854634bad16
62,849
17481d16-ee44-49e5-bcf0-28c0780d8c4a
Fetal kidney dataset: full
d7dcfd8f-2ee7-4385-b9ac-e074c23ed190
27,197
120e86b4-1195-48c5-845b-b98054105eec
Fetal lung + Pan-fetal immune
350237e0-9f48-4cbd-9140-3b44495549f3
670,749
ec329aed-22bc-4d6e-8935-8282dcb1acac
Figure 1
5d3fc988-765d-48ba-bfb5-151ef2988cac
49,109
7dd599c5-d25d-40c0-b1a6-8789791ca808
Figure 1 - A cell atlas of human thymic development defines T cell repertoire formation
cda2c8cd-be1c-42e5-b2cd-162caa1c4ce7
255,901
de13e3e2-23b6-40ed-a413-e9e12d7d3910
Figure 3
e500acbf-f166-4c46-b290-f93506cf26d3
37,428
7dd599c5-d25d-40c0-b1a6-8789791ca808
Fovea - Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution
babbf9f3-f482-45a5-ba76-c41f4c2f503e
19,768
2f4c738f-e2f3-4553-9db2-0582a38ea4dc
Fresh samples (single cell)
6c87755e-a671-41a8-9c7e-4e43b850a57b
157,531
a96133de-e951-4e2d-ace6-59db8b3bfb1d
Frontal cortex samples from C9-ALS, C9-ALS/FTD and age matched control brains
98f5d518-1e60-4307-b732-ab045cd3cbc2
160,658
aee9c366-f2fb-470b-8937-577d5d87d3fc
Frontal cortex samples from C9-FTD and age matched control brains
3b8b5de4-3aa1-4ac6-8890-8d03c8219981
113,106
aee9c366-f2fb-470b-8937-577d5d87d3fc
Frozen samples (single nucleus)
34f5307e-7b4d-4a48-b68f-2ba844c6414b
394,534
a96133de-e951-4e2d-ace6-59db8b3bfb1d
Full Dataset
0a2d7e87-c3c0-4ed2-86df-ae18811fcc16
61,747
7c4552fd-8a6d-4da3-9854-2dfa8baca8bf
Full dataset of single-cell RNA-seq profiles from 9 developmental tissues across gestation (4-17 pcw)
fd072bc3-2dfb-46f8-b4e3-467cb3223182
908,046
b1a879f6-5638-48d3-8f64-f6592c1b1561
Global
1b9d8702-5af8-4142-85ed-020eb06ec4f6
329,762
62ef75e4-cbea-454e-a0ce-998ec40223d3
Global Atlas
de5416ef-bbfa-41f3-99d4-01a3554173f5
621,200
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Global dataset of infant KMT2Ar B-ALL
cf83c98a-3791-4537-bbde-a719f6d73c13
128,588
10ec9198-584e-4a7e-8a24-4a332915a4ef
HBCA - global
0ba636a1-4754-4786-a8be-7ab3cf760fd6
803,283
48259aa8-f168-4bf5-b797-af8e88da6637
HBCC_Cohort
5c97eeeb-7e52-44b3-b010-b832b1f5424c
1,486,324
84ce6837-548d-4a1f-919f-0bc0d9a3952f
HNOCA Extended: The Human Neural Organoid Atlas
d7f5d8d0-6150-48d7-b094-c34286ad11a1
1,920,454
de379e5f-52d0-498c-9801-0f850823c847
HPC region
95d3b0fb-b8a7-4bec-a2e8-cded3222ff07
10,268
22ccff12-9a18-4b01-ba10-302df57a01f8
Healthy and IFALD pediatric and adult human liver tissue
84cfa5aa-a0d1-415e-ac47-eb66c9cf8170
81,001
ff69f0ee-fef6-4895-9f48-6c64a68c8289
Healthy human liver: integrated
ddb22b3d-a75c-4dd1-9730-dff7fc8ca530
73,295
44531dd9-1388-4416-a117-af0a99de2294
Hepatocyte-1 cells from human healthy donor liver samples
234c23d0-d6cd-4612-a40d-e5811727564b
53,015
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Hepatocyte-2 cells from human healthy donor liver samples
76af615b-12fe-4ebb-b8c6-239ad29e26e3
13,635
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
High-Resolution Transcriptomic Landscape of the Human Submandibular Gland
4a90bbba-df97-4a28-83ae-7386fe7d9167
15,684
964581c3-b5ac-494d-9bd4-0dcb6fb058da
Horizontal cells of the human fovea and peripheral retina
2f6a20f1-173d-4b8d-860b-c47ffea120fa
2,868
1d1c7275-476a-49e2-9022-ad1b1c793594
Human Astrocytes 10x scRNA-seq
07760522-707a-4a1c-8891-dbd1226d6b27
33,506
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human DA Neurons 10x scRNA-seq
2856d06c-0ff9-4e01-bfc9-202b74d0b60f
22,048
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human Endothelial cells 10x scRNA-seq
f5be4b96-f5a3-4c3d-84ac-6f69daf744d5
14,903
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human Fetal Bone Marrow (CITE-seq)
343ff97c-85df-494b-8400-beb937618611
8,978
793fdaec-5067-428a-a9db-ecefe135c945
Human Fetal Retina Atlas
aecc2743-4ff2-4b55-ac8c-a1ff76fc4bb4
108,838
c11009b8-b113-4a99-9890-78b2f9df9d79
Human HYPOMAP single-nucleus data
a2c833f7-b7f1-4f4d-ad31-cae478b601b7
433,369
d0941303-7ce3-4422-9249-cf31eb98c480
Human Immune Health Atlas
e522d2cd-7927-4e59-a4ed-064009569279
1,821,725
77f9d7e9-5675-49c3-abed-ce02f39eef1b
Human Microglia 10x scRNA-seq
f8d8b443-bca6-4c3c-9042-669dfb7f8030
33,041
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human Non-DA Neurons 10x scRNA-seq
251b1a7e-d050-4486-8d50-4c2619eb0f46
91,479
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human Nurr-Negative Nuclei 10x scRNA-seq
dea1aa78-c0a2-413f-b375-f91cce49e4d0
104,097
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human Nurr-Positive Nuclei 10x scRNA-seq
92161459-9103-4379-ae34-73a38eee1d1d
80,576
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human OPC Cells 10x scRNA-seq
4dd1cd23-fc4d-4fd1-9709-602540f3ca6f
13,691
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human Oligodendrocytes 10x scRNA-seq
5829c7ba-697f-418e-8b98-d605b192dc48
178,815
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
Human PBMC Glaucoma Atlas
30c2a6fd-d547-460f-a5e7-44c62a2af7ad
207,952
de2cde16-c8d3-4a6d-80be-1be9e879aaca
Human Trophoblast Organoids
b7efc0ba-9136-4f3f-adb2-d07849e59a3d
67,996
257ce7fb-ab27-4772-8a06-9fe8385816b2
Human abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
9d8e5dca-03a3-457d-b7fb-844c75735c83
72,335
6b701826-37bb-4356-9792-ff41fc4c3161
Human adult ureter
3e524d45-2265-4440-b903-3c30d51a0b17
30,942
af286675-7167-4816-a907-c72d41b73d37
Human healthy adult skin scRNA-seq data
f0f0d7c4-3bec-428e-9539-c99d36548d96
195,739
73f82ac8-15cc-4fcd-87f8-5683723fce7f
Human kidney cortex snRNA-seq data from donors with and without diabetic kidney disease
e067e5ca-e53e-485f-aa8e-efd5435229c8
39,176
b3e2c6e3-9b05-4da9-8f42-da38a664b45b
Human lymph node slices cultured with and without ex vivo stimulation by liposomal TLR4 and QS-21 adjuvant
e7bd68ab-df49-44df-9b1e-8486114aeeb5
109,297
69f13fde-a4e8-4a32-8b5d-c657ae2f5e9a
Human lymph nodes with partial T and B cell depletion
edbfa04a-f1dd-496a-8237-df11d70621ca
77,525
69f13fde-a4e8-4a32-8b5d-c657ae2f5e9a
Human muscle cells and nuclei
b3c9904b-2ffd-4038-8620-ee1c5b072e9c
183,161
2d40e6a7-f2fd-49ba-9db9-6b97e4c6dad5
Human pancreatic islet cells
3294d050-6eeb-4a00-b24c-71aacc9b777f
26,474
0a77d4c0-d5d0-40f0-aa1a-5e1429bcbd7e
Ileum
248cf7bf-508b-4c28-a2fd-cabe2ab956aa
5,980
ff668d5d-5b3f-49ee-a007-ff0664bf35ec
Immune Compartment
5a9cfb44-494a-4540-8db8-7143b1bb5a6f
274,555
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Immune Response mechanisms in the cerebrospinal fluid in leptomeningeal disease at single cell resolution
0bf30b02-db97-4560-b9cd-0fe3588892af
72,695
573e2e06-8af0-4d96-bfdd-7d64a4bb9c21
Immune aging project - all cells
1b350d0a-4535-4879-beb6-1142f3f94947
1,281,499
cc431242-35ea-41e1-a100-41e0dec2665b
Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19
de2c780c-1747-40bd-9ccf-9588ec186cee
59,572
4f889ffc-d4bc-4748-905b-8eb9db47a2ed
In vitro derived T cells, from Artificial Thymic Organoid protocol
8d73847b-33e7-48f0-837f-e3e6579bf12d
10,459
b1a879f6-5638-48d3-8f64-f6592c1b1561
Individual Single-Cell RNA-seq PBMC Data from Arunachalam et al.
59b69042-47c2-47fd-ad03-d21beb99818f
49,139
b9fc3d70-5a72-4479-a046-c2cc1ab19efc
Individual Single-Cell RNA-seq PBMC Data from Schulte-Schrepping et al.
5e717147-0f75-4de1-8bd2-6fda01b8d75f
90,957
b9fc3d70-5a72-4479-a046-c2cc1ab19efc
Infant human neocortex cells
82f6af6d-5313-439a-9936-5e844be49a70
51,878
e02201d7-f49f-401f-baf0-1eb1406546c0
Integrated HBCA
55003f67-c494-46f1-83fb-902745646379
2,122,065
48259aa8-f168-4bf5-b797-af8e88da6637
Integrated Single-nucleus and Single-cell RNA-seq of the Adult Human Kidney
0b75c598-0893-4216-afe8-5414cab7739d
304,652
bcb61471-2a44-4d00-a0af-ff085512674c
Integrated adult and foetal hearts
5500c673-1610-40a0-86d9-64d987ae50e6
60,668
43b45a20-a969-49ac-a8e8-8c84b211bd01
Integrated transcriptomes of the 14 pancreatic islet cell types
e51bae9a-c747-4b64-904a-4da7cda218ab
245,878
58e85c2f-d52e-4c19-8393-b854b84d516e
Integration of Day 8 iPSC-Derived Embryoid Bodies with Human Embryo Published Data (10X sc-RNA-seq; Wellington et al. 2024)
589fe605-6d49-4abe-bff8-1675511c689a
41,670
4a2c25af-558a-45fc-bc9a-54ec44a1d63f
Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis
4dd00779-7f73-4f50-89bb-e2d3c6b71b18
34,772
33d19f34-87f5-455b-8ca5-9023a2e5453d
Intratumoral heterogeneity in recurrent pediatric pilocytic astrocytomas
be884a28-0eac-4eca-9c23-1294a93cf56e
35,637
10bf5c50-8d85-4c5f-94b4-22c1363d9f31
Iris
9a281de7-cee5-4e80-8584-1929f46f152f
57,422
63d03351-06be-478e-a0db-f7a653b6b19b
Ischemia-snRNA-Spatial multi-omic map of human myocardial infarction
f15e263b-6544-46cb-a46e-e33ab7ce8347
19,722
8191c283-0816-424b-9b61-c3e1d6258a77
Krasnow Lab Human Lung Cell Atlas, 10X
8c42cfd0-0b0a-46d5-910c-fc833d83c45e
65,662
5d445965-6f1a-4b68-ba3a-b8f765155d3a
L23IT - neocortex: Human variation study (HVS)
1fc48734-35ee-4372-885c-95fd2674c75a
79,631
35928d1c-36fc-4f93-9a8d-0b921ab41745
L4IT - neocortex: Human variation study (HVS)
9ea52f85-a35e-4b5b-9207-e2f1de7dbbcd
35,171
35928d1c-36fc-4f93-9a8d-0b921ab41745
L56NP - neocortex: Human variation study (HVS)
0de831e0-a525-4ec5-b717-df56f2de2bf0
6,133
35928d1c-36fc-4f93-9a8d-0b921ab41745
L5ET - neocortex: Human variation study (HVS)
5e7fff82-b8eb-4220-bf65-c6feb6765ea1
563
35928d1c-36fc-4f93-9a8d-0b921ab41745
L5IT - neocortex: Human variation study (HVS)
34229bdc-a895-4394-8820-574e4028d8c6
31,924
35928d1c-36fc-4f93-9a8d-0b921ab41745
L6CT - neocortex: Human variation study (HVS)
171b03c9-516b-499c-a434-fa4f70191988
7,156
35928d1c-36fc-4f93-9a8d-0b921ab41745
L6IT - neocortex: Human variation study (HVS)
1a974af7-8b4b-4abb-8aba-23e2979d9518
16,668
35928d1c-36fc-4f93-9a8d-0b921ab41745
L6ITCar3 - neocortex: Human variation study (HVS)
0087cde2-967d-4f7c-8e6e-40e4c9ad1891
5,399
35928d1c-36fc-4f93-9a8d-0b921ab41745
L6b - neocortex: Human variation study (HVS)
a30db232-08a6-48f0-ab9f-ad6977b8a6b1
8,213
35928d1c-36fc-4f93-9a8d-0b921ab41745
Lamp5 - neocortex: Human variation study (HVS)
d5a2d011-3765-4dad-ac36-3fff087589fe
8,093
35928d1c-36fc-4f93-9a8d-0b921ab41745
Lamp5Lhx6 - neocortex: Human variation study (HVS)
e2a325e2-5633-4950-ae46-ebff70979e3b
4,683
35928d1c-36fc-4f93-9a8d-0b921ab41745
Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients
9dbab10c-118d-496b-966a-67f1763a6b7d
1,462,702
0a839c4b-10d0-4d64-9272-684c49a2c8ba
Late tip organoid
43a1506b-aa9e-46a3-b288-d210f4595ddf
20,475
2d42fb2f-e635-466e-a2f4-9ea34f2e0feb
Lens
489318a0-24c3-4f5c-b105-f084ed0ea026
13,900
63d03351-06be-478e-a0db-f7a653b6b19b
Living donor kidney
0bae7ebf-eb54-46a6-be9a-3461cecefa4c
27,675
dc3a5256-5c39-4a21-ac0c-4ede3e7b2323
Longitudinal
5b25a46f-f1cf-4caa-9e10-6ab81dfe9174
12,822
126afc71-47fb-4e9d-8aaf-9d9f61e0ac77
Lung
2f132ec9-24b5-422f-9be0-ccef03b4fe28
39,778
6ff3401b-d72c-4940-a00c-3f0792397082
Lung Parenchyma
2672b679-8048-4f5e-9786-f1b196ccfd08
57,019
4d74781b-8186-4c9a-b659-ff4dc4601d91
MSK SPECTRUM – All cells
b252b015-b488-4d5c-b16e-968c13e48a2c
927,205
4796c91c-9d8f-4692-be43-347b1727f9d8
MSSM_Cohort
37a17b78-4864-4a42-b67b-31c00962795a
4,140,453
84ce6837-548d-4a1f-919f-0bc0d9a3952f
Macrophage cells from human healthy donor liver samples
b550fd94-97e0-42e2-90f7-7434781ea2f8
11,127
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Mature kidney dataset: full
9ea768a2-87ab-46b6-a73d-c4e915f25af3
40,268
120e86b4-1195-48c5-845b-b98054105eec
MicroPVM - neocortex: Human variation study (HVS)
b6e502d7-0d07-408e-a291-91b63af0a40a
3,934
35928d1c-36fc-4f93-9a8d-0b921ab41745
Midgestational human neocortex cells
39ed7d98-676d-4b8d-9d0a-0f3b60914ead
118,647
e02201d7-f49f-401f-baf0-1eb1406546c0
Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing
ec6ceff8-c8bc-488d-b6bf-30df2fa92169
67,110
a261413d-835b-4f1e-ab0c-dada55ea6afd
Molecular characterization of selectively vulnerable neurons in Alzheimer’s Disease: Entorhinal Cortex
2727d83a-0af0-443a-bff8-58dc7028289a
42,528
180bff9c-c8a5-4539-b13b-ddbc00d643e6
Molecular characterization of selectively vulnerable neurons in Alzheimer’s Disease: Superior frontal gyrus
6c600df6-ddca-4628-a8bb-1d6de1e3f9b4
63,608
180bff9c-c8a5-4539-b13b-ddbc00d643e6
Multiomics single-cell analysis of human pancreatic islets reveals novel cellular states in health and type 1 diabetes
37b21763-7f0f-41ae-9001-60bad6e2841d
69,645
51544e44-293b-4c2b-8c26-560678423380
NAC region
d7cff847-6403-44a6-ad8a-2f5a783639dd
20,571
22ccff12-9a18-4b01-ba10-302df57a01f8
Nasal scRNA-Seq Dataset
e3cc5b85-62ec-4add-bee3-73c8fd11e59d
34,833
af500bec-a5d6-4569-9f50-4314f2e7a011
Natural killer T cells from human healthy donor liver samples
43560d7c-acd6-4ede-830d-c9ffc6cd0862
16,665
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Non-neuronal cells of the human fovea and peripheral retina
bc7260e0-54cf-4b0b-823d-93f5b850f757
22,125
1d1c7275-476a-49e2-9022-ad1b1c793594
Non-pregnant Uterus (Endometrium - All)
9ddea8d9-cc4c-420a-90f6-880996f808d4
100,307
32f2fd23-ec74-486f-9544-e5b2f41725f5
Non-pregnant Uterus (Endometrium - Organoid)
76150f40-1989-4977-9e23-696e72d59d9e
118,672
32f2fd23-ec74-486f-9544-e5b2f41725f5
OPC - neocortex: Human variation study (HVS)
31285bcd-9a28-48ce-8cc0-543af80261d3
11,244
35928d1c-36fc-4f93-9a8d-0b921ab41745
Occipital cortex samples from C9-ALS, C9-ALS/FTD and age matched control brains
0bc7235a-ae5a-479d-a487-510435377e55
120,807
aee9c366-f2fb-470b-8937-577d5d87d3fc
Occipital cortex samples from C9-FTD and age matched control brains
e6361237-ac4e-4c5d-ad8f-f16aca0c0a8f
66,719
aee9c366-f2fb-470b-8937-577d5d87d3fc
Olah et al (2020) Single-cell Human Microglia
a1b9c51e-a408-4f7f-bccb-abefe20ae2a5
16,245
fcb3d1c1-03d2-41ac-8229-458e072b7a1c
Oligo - neocortex: Human variation study (HVS)
e34f3f89-3a48-4173-a06a-9e9803f2e2b9
57,855
35928d1c-36fc-4f93-9a8d-0b921ab41745
Oligodendrocytes in MS
dc30c3ec-46d6-4cd8-8ec1-b544a3d0f503
17,799
16c1e722-96ae-4bf6-b408-cd7f8918484f
Oral and Craniofacial Atlas
cb252df6-6e49-4553-abd1-495a00006fb1
246,103
065ad318-59fd-4f8c-b4b1-66caa7665409
Organoid
4023a2bc-6325-47db-bfdf-9639e91042c2
70,495
2d2e2acd-dade-489f-a2da-6c11aa654028
Organoid - Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution
7e7f63c5-d964-40be-83de-ecbcccafd233
43,857
2f4c738f-e2f3-4553-9db2-0582a38ea4dc
Ovarian tissue from donor 3
a9bedd04-51cb-42ad-83fe-cd749de71f1b
7,571
6686ada5-43a8-40b6-9a05-6894503606db
Ovarian tissue from donor 4
2a65bd41-4a3f-42f4-98b2-c53962811152
7,288
6686ada5-43a8-40b6-9a05-6894503606db
Ovarian tissue from donor 5
d3d4baff-d142-4f13-acc6-96a4ef6a3e95
6,339
6686ada5-43a8-40b6-9a05-6894503606db
Ovary RNA
d1207c81-7309-43a7-a5a0-f4283670b62b
26,134
d36ca85c-3e8b-444c-ba3e-a645040c6185
PBMC
2a498ace-872a-4935-984b-1afa70fd9886
422,220
03f821b4-87be-4ff4-b65a-b5fc00061da7
PBMCs
fa8605cf-f27e-44af-ac2a-476bee4410d3
59,506
0434a9d4-85fd-4554-b8e3-cf6c582bb2fa
PERIHEART
f1606894-59df-4794-a37f-baa7c6fb6de1
392,819
8c782494-01ed-491b-97b9-6f0d3b76c676
Paediatric Human Gut (4-14y)
8e47ed12-c658-4252-b126-381df8d52a3d
22,502
17481d16-ee44-49e5-bcf0-28c0780d8c4a
Parkinson's disease
d3cb449b-c2b1-4b50-a7f1-21203535fe61
2,096,155
d5d0df8f-4eee-49d8-a221-a288f50a1590
Pax6 - neocortex: Human variation study (HVS)
78f40dd6-ed22-470d-8547-6fb5746c25da
1,465
35928d1c-36fc-4f93-9a8d-0b921ab41745
Periphery - Cell Types of the Human Retina and Its Organoids at Single-Cell Resolution
ccfdcad0-7104-46b9-addf-fd66a2a15907
34,723
2f4c738f-e2f3-4553-9db2-0582a38ea4dc
Photoreceptor cells of the human fovea and peripheral retina
7b75b2c4-6d99-40be-9a61-391455d859e6
9,070
1d1c7275-476a-49e2-9022-ad1b1c793594
Placenta Infection
3966ba97-beb8-4d0b-9954-d3775cd2cd61
158,978
5f80428b-222d-450b-a7de-a408186ceb86
Pregnant Uterus (All)
5bc42b88-bb76-4954-927b-8bb7369adc64
70,325
a9254216-6cd8-4186-b32c-349363777584
Pvalb - neocortex: Human variation study (HVS)
4e374783-0152-423e-bcb6-b87cc232f64d
19,711
35928d1c-36fc-4f93-9a8d-0b921ab41745
RADC_Cohort
5e57cd50-8e42-42d6-940d-5c1660d06864
693,682
84ce6837-548d-4a1f-919f-0bc0d9a3952f
Recruited macrophages elicit atrial fibrillation
87a06a2a-16c6-42f7-af1b-529fad431051
41,279
eeba7193-4d32-46bd-a21b-089936d60601
Rectum
80d7111d-f9fe-49fd-871e-6e618312c341
3,797
ff668d5d-5b3f-49ee-a007-ff0664bf35ec
Retina
856c1b98-5727-49da-bf0f-151bdb8cb056
20,091
1a486c4c-c115-4721-8c9f-f9f096e10857
Retina
d5c67a4e-a8d9-456d-a273-fa01adb1b308
19,694
3472f32d-4a33-48e2-aad5-666d4631bf4c
Retina
af8b241a-c72c-4470-b1a4-80e7336c6ab6
4,335
f8057c47-fcd8-4fcf-88b0-e2f930080f6e
Retinal ganglion cells in human retina
aad97cb5-f375-45ef-ae9d-178e7f5d5180
11,617
af893e86-8e9f-41f1-a474-ef05359b1fb7
Retinal ganglion cells of the human fovea and peripheral retina
d319af7f-be2e-441e-8caa-3b8a88480e89
11,404
1d1c7275-476a-49e2-9022-ad1b1c793594
SACC region
a24ce10f-5a87-4e1f-a34a-f4fe5fc84052
15,669
22ccff12-9a18-4b01-ba10-302df57a01f8
SL040
21722308-5091-4b63-9c07-4f116ab9a7b3
135,482
113a558a-e96e-4643-81db-140e95c58578
SL057
145dcf6a-2461-4fa3-a0af-7fc56db0bd33
123,236
113a558a-e96e-4643-81db-140e95c58578
Second Trimester Human Developing Brain Regions and Cortical Areas
ae4f8ddd-cac9-4172-9681-2175da462f2e
457,965
c8565c6a-01a1-435b-a549-f11b452a83a8
Sex-Specific Control of Human Heart Maturation by the Progesterone Receptor.
99e317c0-1fab-4f73-b511-859e752fd1c3
51,176
68e7e5b7-4dc9-4609-832e-7656aa6182ba
Single Cell Sequencing of Human PBMCs in Clonal Hematopoeisis of Indeterminant Potential
19e46756-9100-4e01-8b0e-23b557558a4c
66,985
0aab20b3-c30c-4606-bd2e-d20dae739c45
Single cell RNA sequencing of bone marrow mononuclear cells from healthy donors and B-cell lymphoma patients following CD19 CAR T-cell therapy
965386e9-1e4f-466d-bf59-ebdca4b66b9b
92,676
26b5b4f6-828c-4791-b4a3-abb19e3b1952
Single cell RNA sequencing of follicular lymphoma
99950e99-2758-41d2-b2c9-643edcdf6d82
137,147
968834a0-1895-40df-8720-666029b3bbac
Single cell RNA-seq data from normal adult kidney tissue
0b4a15a7-4e9e-4555-9733-2423e5c66469
48,783
a98b828a-622a-483a-80e0-15703678befd
Single cell RNA-seq of human heart cells
2e9d2f32-4cfb-49b5-b990-cbf4c241214e
49,359
20eea6c8-9d64-42c9-9b6f-c11b5249e0e9
Single cell analysis of mouse and human prostate reveals novel fibroblasts with specialized distribution and microenvironment interactions - All Human Cells
574e9f9e-f8b4-41ef-bf19-89a9964fd9c7
83,451
4b54248f-2165-477c-a027-dd55082e8818
Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney - RNAseq
9df60c57-fdf3-4e93-828e-fe9303f20438
19,985
9b02383a-9358-4f0f-9795-a891ec523bcc
Single cell transcriptomic profiling identifies molecular phenotypes of newborn human lung cells
6e00ccf7-0749-46ef-a999-dba785630d52
5,499
28e9d721-6816-48a2-8d0b-43bf0b0c0ebc
Single nucleus transcriptomic atlas of human foetal tendon
f641d68a-e877-4bb8-afd7-b8fa3921d461
91,859
7b9ae565-a781-433d-98d4-430394e7802a
Single nucleus transcriptomic profiling of human healthy hamstring tendon
06ef6b36-6c9b-4e10-8a94-d0baf274276e
10,533
d2684035-a36e-458e-96af-8e37930bfdf6
Single-Cell RNA Sequencing of Breast Tissues: Cell Subtypes and Cancer Risk Factors
9a64bf99-ebe5-4276-93a8-bee9dff1cd47
52,681
99f1515b-46a2-4bc4-94c3-f62659dc1eb4
Single-Cell Transcriptome Profiling of Immature Human Thymocytes
11ff73e8-d3e4-4445-9309-477a2c5be6f6
71,732
83ed3be8-4cb9-43e6-9aaa-3fbbf5d1bd3a
Single-cell RNA-seq analysis of Interstitial Lung Disease (ILD) subtypes
f14bc322-1322-4184-8d16-409557525ea5
471,905
07e12576-b41b-4350-adfc-059bfc4328ea
Single-cell RNA-seq analysis reveals cell subsets and gene signatures associated with Rheumatoid Arthritis Disease Activity
d18736c3-6292-4379-919a-d6d973204c87
108,717
e1a9ca56-f2ee-435d-980a-4f49ab7a952b
Single-cell RNA-seq of the Adult Human Kidney (Version 1.5)
dea717d4-7bc0-4e46-950f-fd7e1cc8df7d
225,177
0f528c8a-a25c-4840-8fa3-d156fa11086f
Single-cell atlas of 24 hormone therapy naive localised prostate cancers
881e0e6b-a185-45f1-9b56-81606e91e7ff
68,322
bdac7a53-fe34-4f04-8c46-f9bd5297c099
Single-cell atlas of peripheral immune response to SARS-CoV-2 infection
456e8b9b-f872-488b-871d-94534090a865
44,721
a72afd53-ab92-4511-88da-252fb0e26b9a
Single-cell eQTL mapping identifies cell type specific genetic control of autoimmune disease
3faad104-2ab8-4434-816d-474d8d2641db
1,248,980
dde06e0f-ab3b-46be-96a2-a8082383c4a1
Single-cell multi-omics analysis of the immune response in COVID-19
c7775e88-49bf-4ba2-a03b-93f00447c958
647,366
ddfad306-714d-4cc0-9985-d9072820c530
Single-cell multiomic profiling of human lungs across age groups
3de0ad6d-4378-4f62-b37b-ec0b75a50d94
46,500
625f6bf4-2f33-4942-962e-35243d284837
Single-cell reconstruction of follicular remodeling in the human adult ovary
1f1c5c14-5949-4c81-b28e-b272e271b672
20,676
2902f08c-f83c-470e-a541-e463e25e5058
Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy
bd65a70f-b274-4133-b9dd-0d1431b6af34
167,283
3f50314f-bdc9-40c6-8e4a-b0901ebfbe4c
Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming
124744b8-4681-474a-9894-683896122708
15,457
c353707f-09a4-4f12-92a0-cb741e57e5f0
Single-cell transcriptomic datasets of Renal cell carcinoma patients
5af90777-6760-4003-9dba-8f945fec6fdf
270,855
f7cecffa-00b4-4560-a29a-8ad626b8ee08
Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease
01209dce-3575-4bed-b1df-129f57fbc031
51,876
24d42e5e-ce6d-45ff-a66b-a3b3b715deaf
Single-nucleus RNA-seq of the Adult Human Kidney (Version 1.5)
a12ccb9b-4fbe-457d-8590-ac78053259ef
304,989
0f528c8a-a25c-4840-8fa3-d156fa11086f
Single-nucleus cross-tissue molecular reference maps to decipher disease gene function
4ed927e9-c099-49af-b8ce-a2652d069333
209,126
a3ffde6c-7ad2-498a-903c-d58e732f7470
Single-nucleus transcriptome data from the dlPFC: Human
3c361813-5d5e-4868-bfe5-e7591e7b5381
172,120
e1fa9900-3fc9-4b57-9dce-c95724c88716
Single-soma transcriptomics of tangle-bearing neurons in Alzheimer’s disease - Excitatory
85c60876-7f35-40c5-a256-7808d84c6ba5
96,129
b953c942-f5d8-434f-9da7-e726ba7c1481
Single-soma transcriptomics of tangle-bearing neurons in Alzheimer’s disease - Inhibitory
9813a1d4-d107-459e-9b2e-7687be935f69
23,197
b953c942-f5d8-434f-9da7-e726ba7c1481
Skin
f512b8b6-369d-4a85-a695-116e0806857f
68,036
43d4bb39-21af-4d05-b973-4c1fed7b916c
Sncg - neocortex: Human variation study (HVS)
390b376d-8857-4b4b-991f-0d7326938172
4,112
35928d1c-36fc-4f93-9a8d-0b921ab41745
Sound Life Older Adult Females, CMV-negative
3cb646ab-d411-4e5b-89eb-082a786c953b
1,350,748
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Older Adult Females, CMV-positive
aa32098f-f7b0-43f2-a00a-601d190aae94
2,596,111
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Older Adult Males, CMV-negative
47e00f43-6176-44a5-b4d1-f88a1920fcab
1,750,565
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Older Adult Males, CMV-positive
0c0c49a2-b96b-432f-98a4-1decf9929149
1,322,061
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Females, CMV-negative
46104f0b-9af5-466a-ae0f-56b8dc1969a2
2,616,824
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Females, CMV-positive
0a8e3443-c3e2-4918-84db-0495657d9175
1,234,234
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Males, CMV-negative
420d0f5d-b7ba-4b1e-88d0-44e9f733febd
1,712,244
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sound Life Young Adult Males, CMV-positive
5fde5c9c-5b1e-4df5-982a-3f8e7635161f
1,206,761
e9360edf-b0b7-4e01-bce8-e596814f13e7
Spatiotemporal analysis of human intestinal development at single-cell resolution: All cells
9d5df009-eb76-43a3-b6cd-22017cc53700
76,592
60358420-6055-411d-ba4f-e8ac80682a2e
Spleen
644a578d-ffdc-446b-9679-e7ab4c919c13
94,256
4d74781b-8186-4c9a-b659-ff4dc4601d91
Sst - neocortex: Human variation study (HVS)
3079e9b0-c6db-45c8-b998-a4555a73968e
28,943
35928d1c-36fc-4f93-9a8d-0b921ab41745
SstChodl - neocortex: Human variation study (HVS)
149b2c3f-ee11-47a7-984b-923570280bd7
301
35928d1c-36fc-4f93-9a8d-0b921ab41745
Stellate cells from human healthy donor liver samples
e347396c-a7ff-4691-9f7a-99a43555ca18
1,417
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Stromal Compartment
75011e96-ba37-4977-a539-fbf9f66a5e37
104,032
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Stromal cell diversity associated with immune evasion in human triple‐negative breast cancer
68b6114f-e990-4033-bfb3-c35536633aaa
24,271
16a4f6bc-2457-4e21-9b7a-9ba17c7b66c4
TI epithelial
fe4b89d5-461e-440c-a5a8-621b37b122c0
154,136
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
TI immune
a37f857c-779f-464e-9310-3db43a1811e7
201,072
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
TI stromal
0f4865d5-8000-4f68-8ac7-f5efea9e5e70
75,695
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
Tabula Sapiens - All Cells
53d208b0-2cfd-4366-9866-c3c6114081bc
1,136,218
e5f58829-1a66-40b5-a624-9046778e74f5
The regulatory landscapes of the human ovarian aging(snRNA-seq)
3a702020-cf66-4ef5-9d11-4a5e835b7efb
42,568
ce781ec4-393a-4902-94a0-5a1ca0b600ca
The single-cell lung cancer atlas (LuCA) -- extended atlas
1e6a6ef9-7ec9-4c90-bbfb-2ad3c3165fd1
1,283,972
edb893ee-4066-4128-9aec-5eb2b03f8287
Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19: Adaptive Cells
21d3e683-80a4-4d9b-bc89-ebb2df513dde
246,964
ed9185e3-5b82-40c7-9824-b2141590c7f0
Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19: Innate Cells
30cd5311-6c09-46c9-94f1-71fe4b91813c
125,117
ed9185e3-5b82-40c7-9824-b2141590c7f0
Total - Cells of the human intestinal tract mapped across space and time
80a2c5b6-02e7-4fc0-9f12-179f5247c1bc
428,469
e33ffcd3-7cbf-4b8c-b0f4-85587ad5019a
Trabecular Meshwork and Corneal Scleral wedge
d967b47c-a9e6-4337-b2f4-977f690cb67f
52,309
63d03351-06be-478e-a0db-f7a653b6b19b
Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies
d41f45c1-1b7b-4573-a998-ac5c5acb1647
82,991
efd94500-1fdc-4e28-9e9f-a309d0154e21
Transcriptional responses of the human dorsal striatum in opioid use disorder implicates cell type-specifc programs
c893ddc3-f25b-45e2-8c9e-155918b4261c
98,848
cec4ef8e-1e70-49a2-ae43-1e6bf1fd5978
Transcriptome of human posterior ocular segment
9f1a899f-05a0-44c5-8aa9-39df61ae4324
139,978
7855daa4-3f34-4aae-b65a-87720c02e7cd
Transcriptomic Analysis of Air-Liquid Interface Culture in Human Lung Organoids Reveals Regulators of Epithelial Differentiation
ef1a4b05-540c-4f73-8ceb-49dfa800645d
5,594
e9cf4e8d-05ed-4d95-b550-af35ca219390
Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19
01ad3cd7-3929-4654-84c0-6db05bd5fd59
600,929
7d7cabfd-1d1f-40af-96b7-26a0825a306d
UMAP of Cancer Data integration
7bb64315-9e5a-41b9-9235-59acf9642a3e
293,823
a18474f4-ff1e-4864-af69-270b956cee5b
UMAP visualization of all 12 datasets
de94c504-4b58-4f42-b68d-74a8e4892f0e
15,243
6d203948-a779-4b69-9b3f-1ee1dadc3980
Urethral luminal epithelia are castration-insensitive cells of the proximal prostate - All Human Cells
8b2e5453-faf7-46ea-9073-aea69b283cb7
28,847
fbc5881f-1ee3-4ffe-8095-35e15e1a08fc
VLMC - neocortex: Human variation study (HVS)
f9cfac8d-bff6-47a2-a1f6-503827d375f5
637
35928d1c-36fc-4f93-9a8d-0b921ab41745
Vip - neocortex: Human variation study (HVS)
93091496-be48-4122-b945-9af9c22a7535
28,718
35928d1c-36fc-4f93-9a8d-0b921ab41745
Whole Taxonomy - DLPFC: Seattle Alzheimer's Disease Atlas (SEA-AD)
6f7fd0f1-a2ed-4ff1-80d3-33dde731cbc3
1,395,601
1ca90a2d-2943-483d-b678-b809bf464c30
Whole Taxonomy - MTG: Seattle Alzheimer's Disease Atlas (SEA-AD)
c2876b1b-06d8-4d96-a56b-5304f815b99a
1,378,211
1ca90a2d-2943-483d-b678-b809bf464c30
all cells
cff99df2-4904-44f7-9173-ff837f95606e
424,528
0d35c0fd-ef0b-4b70-bce6-645a4660e5fa
ccRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
be39785b-67cb-4177-be19-a40ee3747e45
20,509
1df8c90d-d299-4b2e-a54d-a5a80f36e780
chRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
4c6f9f26-5470-455b-8933-c408232fbf56
2,576
1df8c90d-d299-4b2e-a54d-a5a80f36e780
colon epithelial
5ce42b38-d867-487f-9b40-e8bb00b21d0b
97,788
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
colon immune
518d9049-2a76-44f8-8abc-1e2b59ab5ba1
152,509
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
colon stromal
6cf3634d-e911-44ad-bf52-c747a9af3c01
39,433
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
fetal and neonatal human small intestine cells
3f32121d-126b-4e8d-9f69-d86502d2a1b1
36,359
7651ac1a-f947-463a-9223-a9e408a41989
human cHSPCs - Illumina
d9f3a82c-24bb-4277-b715-8ec92a33dd32
495,763
5542eeb0-96ef-4ab9-95ea-eb6abc178461
human cHSPCs - Ultima
4a5b00e0-1ba3-4fd4-af89-d3512eb20720
516,121
5542eeb0-96ef-4ab9-95ea-eb6abc178461
human endoderm organoid cell atlas
6725ee8e-ef5b-4e68-8901-61bd14a1fe73
806,646
6282a908-f162-44a2-99a3-8a942e4271b2
human_limb_scRNAseq
e595c979-c2de-4dad-8c02-8334a8e56de6
125,955
4fefa187-5d14-4f1e-915b-c892ed320aab
immune cells
1e5bd3b8-6a0e-4959-8d69-cafed30fe814
35,699
03cdc7f4-bd08-49d0-a395-4487c0e5a168
intestine_on_chip_IFN
51d9716c-50bb-4fd8-8d1e-7d9329969cb7
11,177
f30e0bf7-7b03-44b0-b312-cda799ef0240
intestine_on_chip_media
f7ca7eb9-0919-4eba-99a1-21ba382b4174
11,103
f30e0bf7-7b03-44b0-b312-cda799ef0240
multimodal benchmarking dataset for renal cortex characterization
60a29d0b-1a37-4447-ac32-00d701580b47
97,125
4cbb929b-b03b-4aa8-a943-00f61dc22641
multiplexed scRNA-seq of 1.2 million PBMCs from adult lupus samples
218acb0f-9f2f-4f76-b90b-15a4b7c7f629
1,263,676
436154da-bcf1-4130-9c8b-120ff9a888f2
non-immune cells
4b6af54a-4a21-46e0-bc8d-673c0561a836
18,386
03cdc7f4-bd08-49d0-a395-4487c0e5a168
normal - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
f801b7a9-80a6-4d09-9161-71474deb58ae
6,044
1df8c90d-d299-4b2e-a54d-a5a80f36e780
nygc multimodal pbmc
ed5d841d-6346-47d4-ab2f-7119ad7e3a35
161,764
b0cf0afa-ec40-4d65-b570-ed4ceacc6813
organoid
8dc858b0-b076-4326-94bb-7c2d1cd721a3
8,556
ec329aed-22bc-4d6e-8935-8282dcb1acac
organoid
781cc817-3fd0-487c-a55a-b47b2786a05d
9,619
92db8a7e-8761-4317-873f-15606c016ce5
plaque atlas
72955cdb-bd92-4135-aa52-21f33f9640db
259,116
db70986c-7d91-49fe-a399-a4730be394ac
primary_trophoblast_organoid
ab326369-b63c-48d8-8a7f-82ffa0df7002
26,853
e2c257e7-6f79-487c-b81c-39451cd4ab3c
progressive_plasticity_during_crc_metastasis_epithelial
829a3cd1-a466-49f1-b2e9-d3f6b7f392e2
47,107
1cbfb478-2c7f-4d15-b522-9f74e9fe52a8
scRNA-seq analysis of human fallopian tubes in healthy Vs. hydrosalphinx states
b693123e-95e6-4331-8b50-f367489a767e
77,536
fc77d2ae-247d-44d7-aa24-3f4859254c2c
scRNA-seq data - all cells
842c6f5d-4a94-4eef-8510-8c792d1124bc
714,331
4195ab4c-20bd-4cd3-8b3d-65601277e731
scRNA-seq data analysis of endothelium-enriched mesenteric arterial tissues from human donors
42b6a476-c51d-4f8b-b68b-44941b3a11bf
11,243
db468083-041c-41ca-8f6f-bf991a070adf
scRNA-seq data of human fallopian tube
30f5e171-83d7-4fc0-bf75-384f122346b3
1,790
99be70c4-e534-4413-a607-ce40b3ff2c77
scRNA-seq for GZMK+CD8+ T cells Target A Specific Acinar Cell Type in Sjögren’s Disease
df1edb87-e512-43ae-b5f4-cb179cfc2bb4
94,227
21bbfaec-6958-46bc-b1cd-1535752f6304
scRNA-seq of foveal and parafoveal retina
f5be9ed2-5d41-4a52-91e4-4ff24ff84900
34,323
e9c73b68-e980-49c2-8d0d-1c9cab21507e
scRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
8560f809-5794-484e-9152-b63efa91d134
332,995
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
scRNA-seq of human ocular surface: cornea, limbus, sclera – fetal data included
8ef06ea4-8d0f-4303-a652-7d4604402b1f
815,769
0f7d022a-46c7-4e64-be4c-e34adbb78089
scRNA-seq of human of the human retinal pigment epithelium and the choroid
5ed90bc0-12f3-4354-b314-0ce0dbb96458
182,151
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
scRNA-seq of human retina - all cells
be41a86a-b606-4b1c-8055-32f334898775
265,767
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
scRNA-seq of lung biopsies from six human lung transplant cases
429d21fd-bb9a-4abf-922b-c15138524bdd
108,613
9f29fcd0-7075-4420-bd61-e2ec1aebad89
scRNA-seq of vascular tissue
43245158-5ae1-4e71-a9a6-67eef49c26bc
113,304
8f17ac63-aaba-44b5-9b78-60f121da4c2f
snRNA-seq data - all cells
7f08cbcc-5790-4576-8478-10e9a999b316
117,346
4195ab4c-20bd-4cd3-8b3d-65601277e731
snRNA-seq data for human cerebella from 9-12 developmental stages
bab7432a-5cfe-45ea-928c-422d03c45cdd
180,956
72d37bc9-76cc-442d-9131-da0e273862db
snRNA-seq of all cells in high-risk Neuroblastoma before and after chemotherapy
afae4675-434d-4e89-b5ce-2854c9dc38a3
372,619
cee845e3-ec04-4781-9e2a-28734bb4f7ba
snRNA-seq of human anterior and posterior hippocampus
94c41723-b2c4-4b59-a49a-64c9b851903e
129,905
f17b9205-f61f-4a0f-a65a-73ba91c50ade
snRNA-seq of human ocular anterior segment: trabecular meshwork and ciliary body
978a566a-dc27-478d-b306-26daba116c1f
1,102,250
0cbf8ef8-87bd-4b51-8521-ec3f68183e11
snRNA-seq of human ocular surface: cornea, limbus, sclera
8058d760-09e6-4bdd-86a1-36917ffca3ef
147,484
0f7d022a-46c7-4e64-be4c-e34adbb78089
snRNA-seq of human of the human retinal pigment epithelium and the choroid - fetal data included
1a9f3b38-b86d-416d-bbdc-9058ad3ff42d
851,993
48c15b0c-6039-4e0f-9668-b6b3c0b830ad
snRNA-seq of human optic nerve and optic nerve head - all cells
3c364ffe-d599-44d5-a77f-6c5fd7038cf6
959,629
05e3d0fc-c9dd-4f14-9163-2b242b3bb5c2
snRNA-seq of human retina - all cells
d6505c89-c43d-4c28-8c4f-7351a5fd5528
3,177,310
4c6eaf5c-6d57-4c76-b1e9-60df8c655f1e
snRNA-seq of human subcutaneous adipose tissue - all cells
821a8e3e-87ec-41ee-bd69-cd4377057d38
37,879
ba84c7ba-8d8c-4720-a76e-3ee37dc89f0b
snRNA-seq of human visceral adipose tissue - all cells
96baf2e0-60c5-48cf-b1d1-cba657851507
83,731
ba84c7ba-8d8c-4720-a76e-3ee37dc89f0b
snRNA-seq of the human quadriceps tendon
acd544d0-4d8b-46c7-98b3-fc48f7e6fdb7
12,808
579203e2-182f-47bc-8230-7aa47247e2a4
thymus scRNA-seq atlas
29244e1d-02e6-4133-b411-516ef7474638
482,651
fc19ae6c-d7c1-4dce-b703-62c5d52061b4
white matter - all cells
c05e6940-729c-47bd-a2a6-6ce3730c4919
45,528
9d63fcf1-5ca0-4006-8d8f-872f3327dbe9
wilms
ea01c125-67a7-4bd3-a8b0-e1b53a011b7e
4,636
13d1c580-4b17-4b2e-85c4-75b36917413f