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 (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 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 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 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
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
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 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
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
BCC and Normal - scRNA-seq data
e7c5ba7e-4be0-4696-af50-a07d0dc7aac5
152,189
34f12de7-c5e5-4813-a136-832677f98ac8
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
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
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
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
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
CortexCulturesTwoWeeksInVitro
3e55180c-780a-4424-9434-5296640ffc0d
7,774
644927a3-456b-4e64-b7cd-76547bfc694d
DCM/ACM heart cell atlas: All cells
65badd7a-9262-4fd1-9ce2-eb5dc0ca8039
881,081
e75342a8-0f3b-4ec5-8ee1-245a23e0f7cb
Developing Human Atlas
9968be68-ab65-4a38-9e1a-c9b6abece194
155,232
dfc09a93-bce0-4c77-893d-e153d1b7f9fa
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: 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 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: 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) - Cuneus, rostral part - Area Prostriata - Pro
ff7d15fa-f4b6-4a0e-992e-fd0c9d088ded
28,051
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) - Posterior intermediate orbital gyrus (POrG) - Caudal division of OFCi - A13
d582f63a-3c88-4e38-8cd3-8682dbe40f64
34,919
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: 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: Midbrain (M) - Substantia Nigra, Red Nucleus, and nearby nuclei - SN-RN
9ec34295-ab16-47e2-af33-b884143e520b
49,110
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) - sensory relay nuclei in medulla oblongata - MoSR
0ee5ae70-c3f5-473f-bd1c-287f4690ffc5
13,623
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: 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: 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) - 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
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
Esophagus Epithelium
b07fb54c-d7ad-4995-8bb0-8f3d8611cabe
87,947
4d74781b-8186-4c9a-b659-ff4dc4601d91
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
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
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
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
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
Heart
364bd0c7-f7fd-48ed-99c1-ae26872b1042
931,012
854c0855-23ad-4362-8b77-6b1639e7a9fc
Hepatocyte-1 cells from human healthy donor liver samples
234c23d0-d6cd-4612-a40d-e5811727564b
53,015
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
Hippocampus
74014ef8-d2d0-4cbc-8ba2-037f30753ffd
676,845
854c0855-23ad-4362-8b77-6b1639e7a9fc
Human CellCards Multi-Study CellRef 1.0 Atlas
eb499fd8-7000-419f-8854-926b9b61b11f
347,970
f86d6317-7215-409e-bfda-3f4ded3dadaa
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 Oligodendrocytes 10x scRNA-seq
5829c7ba-697f-418e-8b98-d605b192dc48
178,815
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
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 dermal fibroblast atlas
a19d1667-a7b5-4556-9e5f-f9bfa690c0f1
108,440
3c4f0970-7614-43de-beb7-6128b3cb74ed
Human healthy adult skin scRNA-seq data
f0f0d7c4-3bec-428e-9539-c99d36548d96
195,739
73f82ac8-15cc-4fcd-87f8-5683723fce7f
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 muscle cells and nuclei
b3c9904b-2ffd-4038-8620-ee1c5b072e9c
183,161
2d40e6a7-f2fd-49ba-9db9-6b97e4c6dad5
Immune aging project - all cells
1b350d0a-4535-4879-beb6-1142f3f94947
1,281,499
cc431242-35ea-41e1-a100-41e0dec2665b
Individual Single-Cell RNA-seq PBMC Data from Arunachalam et al.
59b69042-47c2-47fd-ad03-d21beb99818f
49,139
b9fc3d70-5a72-4479-a046-c2cc1ab19efc
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 cancer cell-specific single-cell RNA-seq datasets of immune checkpoint blockade-treated patients
7b20c613-9add-43d1-87e9-defd3d9b9f8c
355,941
61e422dd-c9cd-460e-9b91-72d9517348ef
Interneuron maturation in the human entorhinal cortex
72822932-10f6-466f-baf3-a2c1d89364bc
20,470
cae8bad0-39e9-4771-85a7-822b0e06de9f
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
L5ET - neocortex: Human variation study (HVS)
5e7fff82-b8eb-4220-bf65-c6feb6765ea1
563
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
Liver
1d89d081-f43d-401a-be76-bd6ef9259f4e
259,678
854c0855-23ad-4362-8b77-6b1639e7a9fc
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
Mature kidney dataset: full
9ea768a2-87ab-46b6-a73d-c4e915f25af3
40,268
120e86b4-1195-48c5-845b-b98054105eec
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
Nasal scRNA-Seq Dataset
e3cc5b85-62ec-4add-bee3-73c8fd11e59d
34,833
af500bec-a5d6-4569-9f50-4314f2e7a011
Non-pregnant Uterus (Endometrium - All)
9ddea8d9-cc4c-420a-90f6-880996f808d4
100,307
32f2fd23-ec74-486f-9544-e5b2f41725f5
OPC - neocortex: Human variation study (HVS)
31285bcd-9a28-48ce-8cc0-543af80261d3
11,244
35928d1c-36fc-4f93-9a8d-0b921ab41745
Oligo - neocortex: Human variation study (HVS)
e34f3f89-3a48-4173-a06a-9e9803f2e2b9
57,855
35928d1c-36fc-4f93-9a8d-0b921ab41745
Oral and Craniofacial Atlas
cb252df6-6e49-4553-abd1-495a00006fb1
246,103
065ad318-59fd-4f8c-b4b1-66caa7665409
Ovarian tissue from donor 5
d3d4baff-d142-4f13-acc6-96a4ef6a3e95
6,339
6686ada5-43a8-40b6-9a05-6894503606db
PBMC
2a498ace-872a-4935-984b-1afa70fd9886
422,220
03f821b4-87be-4ff4-b65a-b5fc00061da7
PERIHEART
f1606894-59df-4794-a37f-baa7c6fb6de1
392,819
8c782494-01ed-491b-97b9-6f0d3b76c676
Pancreas
31f657dc-1875-4c4b-a5ca-ce63b3ef3a82
121,916
854c0855-23ad-4362-8b77-6b1639e7a9fc
Parkinson's disease
d3cb449b-c2b1-4b50-a7f1-21203535fe61
2,096,155
d5d0df8f-4eee-49d8-a221-a288f50a1590
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
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 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 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 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-seq analysis of Interstitial Lung Disease (ILD) subtypes
f14bc322-1322-4184-8d16-409557525ea5
471,905
07e12576-b41b-4350-adfc-059bfc4328ea
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 analysis of prenatal and postnatal human cortical development
1a38e762-2465-418f-b81c-6a4bce261c34
709,372
bacccb91-066d-4453-b70e-59de0b4598cd
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 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
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
Sst - neocortex: Human variation study (HVS)
3079e9b0-c6db-45c8-b998-a4555a73968e
28,943
35928d1c-36fc-4f93-9a8d-0b921ab41745
Subpallial germinal zones and the developing human entorhinal cortex
ecce9688-66ea-4600-98f7-84aed7421c01
124,917
cae8bad0-39e9-4771-85a7-822b0e06de9f
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
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
Transcriptome of human posterior ocular segment
9f1a899f-05a0-44c5-8aa9-39df61ae4324
139,978
7855daa4-3f34-4aae-b65a-87720c02e7cd
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
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
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
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
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 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 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