3-prime FGID data
6ceeaa86-9ceb-4582-b390-6d4dd6ff0572
89,849
a064d795-3b77-44ae-9fb5-beb57c567443
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 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 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 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
All
13149914-ea03-4f01-8bf6-b793b667127b
1,665,937
4d8fed08-2d6d-4692-b5ea-464f1d072077
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 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_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
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
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
CAREBANK
8f4f8502-9170-4ac2-9707-3b6985ebfe5f
221,756
8c782494-01ed-491b-97b9-6f0d3b76c676
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
Circulating Immune cells -- CV19 infection, vaccination and HC
242c6e7f-9016-4048-af70-d631f5eea188
189,902
ecb739c5-fe0d-4b48-81c6-217c4d64eec4
Combined human neural dataset
b62f728b-a7eb-4889-8162-b3d457de93b9
43,485
847fafc3-41a1-4a0d-9461-0328c88e9b13
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) - 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) - Putamen - Pu
f5a04dff-d394-4023-8811-65494e8bb11d
34,416
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: 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) - Cuneus, caudal part - Peristriate Cortex - V2
ed33c203-233a-476a-a56b-28da945fdd32
32,638
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) - Perirhinal gyrus (PRG) - A35-A36
dd03ce70-3243-4c96-9561-330cc461e4d7
23,732
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: Claustrum - Cla
31f04740-c712-4c4b-a3f8-55c0506b3034
40,165
283d65eb-dd53-496d-adb7-7570c7caa443
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-CA3
3f56901c-dd4a-47d6-b60b-7b0c0111cfb2
37,911
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: 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) - 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: 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: Paleocortex (PalCx) - Anterior Olfactory Nucleus - AON
f502c312-05dc-4fd4-a762-92a63e92b539
31,230
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: Primary somatosensory cortex (S1)
93cb76aa-a84b-4a92-8e6c-66a914e26d4c
153,159
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 - 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 of thalamus (LNC) - ventral group of lateral nucleus - VLN
a7b4f565-691d-43ea-bf4a-d2d1d52bb4b4
27,111
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) - 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 - LP
381aa407-317a-40ef-8048-7ce0eacc4266
26,172
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
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 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
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
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
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
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 Endothelial cells 10x scRNA-seq
f5be4b96-f5a3-4c3d-84ac-6f69daf744d5
14,903
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
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 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 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 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 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 aging project - all cells
1b350d0a-4535-4879-beb6-1142f3f94947
1,281,499
cc431242-35ea-41e1-a100-41e0dec2665b
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 adult and foetal hearts
5500c673-1610-40a0-86d9-64d987ae50e6
60,668
43b45a20-a969-49ac-a8e8-8c84b211bd01
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
Intratumoral heterogeneity in recurrent pediatric pilocytic astrocytomas
be884a28-0eac-4eca-9c23-1294a93cf56e
35,637
10bf5c50-8d85-4c5f-94b4-22c1363d9f31
L23IT - neocortex: Human variation study (HVS)
1fc48734-35ee-4372-885c-95fd2674c75a
79,631
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
Lens
489318a0-24c3-4f5c-b105-f084ed0ea026
13,900
63d03351-06be-478e-a0db-f7a653b6b19b
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
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
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-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
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
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
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
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
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
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
RADC_Cohort
5e57cd50-8e42-42d6-940d-5c1660d06864
693,682
84ce6837-548d-4a1f-919f-0bc0d9a3952f
Retina
d5c67a4e-a8d9-456d-a273-fa01adb1b308
19,694
3472f32d-4a33-48e2-aad5-666d4631bf4c
Retina
856c1b98-5727-49da-bf0f-151bdb8cb056
20,091
1a486c4c-c115-4721-8c9f-f9f096e10857
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 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 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-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 RNA-seq analysis of Interstitial Lung Disease (ILD) subtypes
f14bc322-1322-4184-8d16-409557525ea5
471,905
07e12576-b41b-4350-adfc-059bfc4328ea
Single-cell analysis of prenatal and postnatal human cortical development
1a38e762-2465-418f-b81c-6a4bce261c34
709,372
bacccb91-066d-4453-b70e-59de0b4598cd
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 reconstruction of follicular remodeling in the human adult ovary
1f1c5c14-5949-4c81-b28e-b272e271b672
20,676
2902f08c-f83c-470e-a541-e463e25e5058
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-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
Sound Life Young Adult Males, CMV-negative
420d0f5d-b7ba-4b1e-88d0-44e9f733febd
1,712,244
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
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
Subpallial germinal zones and the developing human entorhinal cortex
ecce9688-66ea-4600-98f7-84aed7421c01
124,917
cae8bad0-39e9-4771-85a7-822b0e06de9f
TI immune
a37f857c-779f-464e-9310-3db43a1811e7
201,072
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
Tabula Sapiens - All Cells
53d208b0-2cfd-4366-9866-c3c6114081bc
1,136,218
e5f58829-1a66-40b5-a624-9046778e74f5
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
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
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
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
colon stromal
6cf3634d-e911-44ad-bf52-c747a9af3c01
39,433
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
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
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
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 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
snRNA-seq data - all cells
7f08cbcc-5790-4576-8478-10e9a999b316
117,346
4195ab4c-20bd-4cd3-8b3d-65601277e731
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 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
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