3-prime FGID data
6ceeaa86-9ceb-4582-b390-6d4dd6ff0572
89,849
a064d795-3b77-44ae-9fb5-beb57c567443
49 years old male - Fresh PBMCs (2 days post-intubation)
db59611b-42de-4035-93aa-1ed39f38b467
11,574
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
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
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 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
Activated PBMCs - Expanded cohort CITE-seq
3c75a463-6a87-4132-83a8-c3002624394d
95,064
bf325905-5e8e-42e3-933d-9a9053e9af80
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 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 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 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 — 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 cell atlas of the human lung in health and disease (full)
9f222629-9e39-47d0-b83f-e08d610c7479
2,282,447
6f6d381a-7701-4781-935c-db10d30de293
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
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
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
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
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) - Central nuclear group - CEN
7b316f62-7fa0-4b95-bac9-e90866038a85
42,699
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: 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: Basal nuclei (BN) - Nucleus Accumbens - NAC
40318d39-3d8f-49f4-8455-a2e1365c5c5b
30,132
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: Cerebral cortex (Cx) - Perirhinal gyrus (PRG) - A35-A36
dd03ce70-3243-4c96-9561-330cc461e4d7
23,732
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: 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) - 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 (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: 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) - sensory relay nuclei in medulla oblongata - MoSR
0ee5ae70-c3f5-473f-bd1c-287f4690ffc5
13,623
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 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: 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 nucleus of thalamus - CM
364348b4-bc34-4fe1-a851-60d99e36cafa
12,944
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
Fetal Bone Marrow (10x)
1a2e3350-28a8-4f49-b33c-5b67ceb001f6
103,228
793fdaec-5067-428a-a9db-ecefe135c945
Fetal Human Gut (6-11 PCW)
b46237d1-19c6-4af2-9335-9854634bad16
62,849
17481d16-ee44-49e5-bcf0-28c0780d8c4a
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
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
Frozen samples (single nucleus)
34f5307e-7b4d-4a48-b68f-2ba844c6414b
394,534
a96133de-e951-4e2d-ace6-59db8b3bfb1d
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
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 DA Neurons 10x scRNA-seq
2856d06c-0ff9-4e01-bfc9-202b74d0b60f
22,048
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
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 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 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 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
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
Individual Single-Cell RNA-seq PBMC Data from Schulte-Schrepping et al.
5e717147-0f75-4de1-8bd2-6fda01b8d75f
90,957
b9fc3d70-5a72-4479-a046-c2cc1ab19efc
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
Integrated transcriptomes of the 14 pancreatic islet cell types
e51bae9a-c747-4b64-904a-4da7cda218ab
245,878
58e85c2f-d52e-4c19-8393-b854b84d516e
Interneuron maturation in the human entorhinal cortex
72822932-10f6-466f-baf3-a2c1d89364bc
20,470
cae8bad0-39e9-4771-85a7-822b0e06de9f
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 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
Macrophage cells from human healthy donor liver samples
b550fd94-97e0-42e2-90f7-7434781ea2f8
11,127
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
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
Natural killer T cells from human healthy donor liver samples
43560d7c-acd6-4ede-830d-c9ffc6cd0862
16,665
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Non-pregnant Uterus (Endometrium - Organoid)
76150f40-1989-4977-9e23-696e72d59d9e
118,672
32f2fd23-ec74-486f-9544-e5b2f41725f5
Occipital cortex samples from C9-FTD and age matched control brains
e6361237-ac4e-4c5d-ad8f-f16aca0c0a8f
66,719
aee9c366-f2fb-470b-8937-577d5d87d3fc
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
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
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
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
Retina
d5c67a4e-a8d9-456d-a273-fa01adb1b308
19,694
3472f32d-4a33-48e2-aad5-666d4631bf4c
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 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 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 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 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 reconstruction of follicular remodeling in the human adult ovary
1f1c5c14-5949-4c81-b28e-b272e271b672
20,676
2902f08c-f83c-470e-a541-e463e25e5058
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
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
Tabula Sapiens - All Cells
53d208b0-2cfd-4366-9866-c3c6114081bc
1,136,218
e5f58829-1a66-40b5-a624-9046778e74f5
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
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
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
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
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
scRNA-seq data - all cells
842c6f5d-4a94-4eef-8510-8c792d1124bc
714,331
4195ab4c-20bd-4cd3-8b3d-65601277e731
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
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 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
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