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 (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 (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 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
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 duodenum
ee195b7d-184d-4dfa-9b1c-51a7e601ac11
5,200
dfc09a93-bce0-4c77-893d-e153d1b7f9fa
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 2
7f7faf6b-f11d-4f07-bc1c-188a4472748d
134,076
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 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 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 — Cells of the adult human heart
d4e69e01-3ba2-4d6b-a15d-e7048f78f22e
486,134
b52eb423-5d0d-4645-b217-e1c6d38b2e72
Amacrine cells of the human fovea and peripheral retina
5cdbb2ea-c622-466d-9ead-7884ad8cb99f
13,607
1d1c7275-476a-49e2-9022-ad1b1c793594
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
Autoimmunity PBMCs
c2a461b1-0c15-4047-9fcb-1f966fe55100
97,499
eb735cc9-d0a7-48fa-b255-db726bf365af
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
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
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
Cellular and transcriptional diversity over the course of human lactation
0920bcb8-4b3a-4e9d-a353-56f529fd3b32
48,478
e77163ca-8214-4e86-8b37-4f65a2ddae13
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
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
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
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: 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: Body of hippocampus (HiB) - Rostral DG-CA4
715327a6-7978-4896-ba91-69d6b04dbbfb
40,191
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, posterior part (APH) - Medial entorhinal cortex - MEC
52ea546e-9229-40ef-b048-a2e694dd73e8
50,362
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) - 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: 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-CA3
3f56901c-dd4a-47d6-b60b-7b0c0111cfb2
37,911
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) - supraoptic region of HTH - HTHso
22658f4f-9268-41ad-8828-cc53f4baa9fa
12,557
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: Thalamus (THM) - Subthalamic nucleus and nearby - STH
a5b5d1f3-dd8b-44f6-a685-15f0f741c062
20,162
283d65eb-dd53-496d-adb7-7570c7caa443
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
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
Fresh samples (single cell)
6c87755e-a671-41a8-9c7e-4e43b850a57b
157,531
a96133de-e951-4e2d-ace6-59db8b3bfb1d
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
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 Immune Health Atlas
e522d2cd-7927-4e59-a4ed-064009569279
1,821,725
77f9d7e9-5675-49c3-abed-ce02f39eef1b
Human Nurr-Negative Nuclei 10x scRNA-seq
dea1aa78-c0a2-413f-b375-f91cce49e4d0
104,097
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 abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
9d8e5dca-03a3-457d-b7fb-844c75735c83
72,335
6b701826-37bb-4356-9792-ff41fc4c3161
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 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
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
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 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
Krasnow Lab Human Lung Cell Atlas, 10X
8c42cfd0-0b0a-46d5-910c-fc833d83c45e
65,662
5d445965-6f1a-4b68-ba3a-b8f765155d3a
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
Non-pregnant Uterus (Endometrium - All)
9ddea8d9-cc4c-420a-90f6-880996f808d4
100,307
32f2fd23-ec74-486f-9544-e5b2f41725f5
Oral and Craniofacial Atlas
cb252df6-6e49-4553-abd1-495a00006fb1
246,103
065ad318-59fd-4f8c-b4b1-66caa7665409
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
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
Pregnant Uterus (All)
5bc42b88-bb76-4954-927b-8bb7369adc64
70,325
a9254216-6cd8-4186-b32c-349363777584
RADC_Cohort
5e57cd50-8e42-42d6-940d-5c1660d06864
693,682
84ce6837-548d-4a1f-919f-0bc0d9a3952f
SL040
21722308-5091-4b63-9c07-4f116ab9a7b3
135,482
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
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 follicular lymphoma
99950e99-2758-41d2-b2c9-643edcdf6d82
137,147
968834a0-1895-40df-8720-666029b3bbac
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 nucleus transcriptomic atlas of human foetal tendon
f641d68a-e877-4bb8-afd7-b8fa3921d461
91,859
7b9ae565-a781-433d-98d4-430394e7802a
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 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 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
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
Spleen
644a578d-ffdc-446b-9679-e7ab4c919c13
94,256
4d74781b-8186-4c9a-b659-ff4dc4601d91
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
Subpallial germinal zones and the developing human entorhinal cortex
ecce9688-66ea-4600-98f7-84aed7421c01
124,917
cae8bad0-39e9-4771-85a7-822b0e06de9f
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
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
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
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
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 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
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
immune cells
1e5bd3b8-6a0e-4959-8d69-cafed30fe814
35,699
03cdc7f4-bd08-49d0-a395-4487c0e5a168
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
nygc multimodal pbmc
ed5d841d-6346-47d4-ab2f-7119ad7e3a35
161,764
b0cf0afa-ec40-4d65-b570-ed4ceacc6813
plaque atlas
72955cdb-bd92-4135-aa52-21f33f9640db
259,116
db70986c-7d91-49fe-a399-a4730be394ac
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 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 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
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 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 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