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
82 years old female - Fresh PBMCs (1 day post-intubation)
8a554710-08bc-4005-87cd-da9675bdc2e7
4,232
29f92179-ca10-4309-a32b-d383d80347c1
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 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
Adult bladder urothelial subset
8e5978bd-0e48-4a09-a92d-fa2985059f05
14,776
0e54d4de-44f0-4d50-8649-b5c2bbe8f5d1
Adult ureter trio
12c3efd8-d515-42e6-b93c-4961e599d524
13,161
af286675-7167-4816-a907-c72d41b73d37
Airway
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
236,977
03f821b4-87be-4ff4-b65a-b5fc00061da7
All
13149914-ea03-4f01-8bf6-b793b667127b
1,665,937
4d8fed08-2d6d-4692-b5ea-464f1d072077
All Cells
16023185-de21-4c0d-a9c8-73abdd52d142
370,115
4d82bd8e-8827-410b-8fc7-685b7dd92585
All 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 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 donors all cell states (in vivo)
74cff64f-9da9-4b2a-9b3b-8a04a1598040
325,665
e2c257e7-6f79-487c-b81c-39451cd4ab3c
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
B cells from human healthy donor liver samples
4993d61c-1d04-4630-9c61-8d9431f39adc
1,250
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
BCC and Normal - scRNA-seq data
e7c5ba7e-4be0-4696-af50-a07d0dc7aac5
152,189
34f12de7-c5e5-4813-a136-832677f98ac8
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
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
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
Dissection: Cerebellum (CB) - Cerebellar deep nuclei - CbDN
095940cb-7422-4510-96e2-cbafd961eb88
52,045
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) - Middle Temporal Gyrus - MTG
e1f595f6-ba2c-495e-9bee-7056f116b1e4
107,301
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: 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: Spinal cord - SpC
090da8ea-46e8-40df-bffc-1f78e1538d27
24,190
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Tail of Hippocampus (HiT) - Caudal Hippocampus - CA1-CA3
d2b5efc1-14c6-4b5f-bd98-40f9084872d7
36,886
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Tail of Hippocampus (HiT) - Caudal Hippocampus - CA4-DGC
9f499d32-400d-4c42-ac9a-fb1481844fee
56,367
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Thalamus (THM) - 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 nucleus of thalamus - CM
364348b4-bc34-4fe1-a851-60d99e36cafa
12,944
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
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
Fetal Bone Marrow (10x)
1a2e3350-28a8-4f49-b33c-5b67ceb001f6
103,228
793fdaec-5067-428a-a9db-ecefe135c945
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
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
HBCA - global
0ba636a1-4754-4786-a8be-7ab3cf760fd6
803,283
48259aa8-f168-4bf5-b797-af8e88da6637
Healthy and IFALD pediatric and adult human liver tissue
84cfa5aa-a0d1-415e-ac47-eb66c9cf8170
81,001
ff69f0ee-fef6-4895-9f48-6c64a68c8289
Healthy human liver: integrated
ddb22b3d-a75c-4dd1-9730-dff7fc8ca530
73,295
44531dd9-1388-4416-a117-af0a99de2294
Hepatocyte-1 cells from human healthy donor liver samples
234c23d0-d6cd-4612-a40d-e5811727564b
53,015
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Hepatocyte-2 cells from human healthy donor liver samples
76af615b-12fe-4ebb-b8c6-239ad29e26e3
13,635
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Human CellCards Multi-Study CellRef 1.0 Atlas
eb499fd8-7000-419f-8854-926b9b61b11f
347,970
f86d6317-7215-409e-bfda-3f4ded3dadaa
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 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
Immune aging project - all cells
1b350d0a-4535-4879-beb6-1142f3f94947
1,281,499
cc431242-35ea-41e1-a100-41e0dec2665b
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
Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis
4dd00779-7f73-4f50-89bb-e2d3c6b71b18
34,772
33d19f34-87f5-455b-8ca5-9023a2e5453d
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
Living donor kidney
0bae7ebf-eb54-46a6-be9a-3461cecefa4c
27,675
dc3a5256-5c39-4a21-ac0c-4ede3e7b2323
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
Mature kidney dataset: full
9ea768a2-87ab-46b6-a73d-c4e915f25af3
40,268
120e86b4-1195-48c5-845b-b98054105eec
Nasal scRNA-Seq Dataset
e3cc5b85-62ec-4add-bee3-73c8fd11e59d
34,833
af500bec-a5d6-4569-9f50-4314f2e7a011
Natural killer T cells from human healthy donor liver samples
43560d7c-acd6-4ede-830d-c9ffc6cd0862
16,665
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Oral and Craniofacial Atlas
cb252df6-6e49-4553-abd1-495a00006fb1
246,103
065ad318-59fd-4f8c-b4b1-66caa7665409
Organoid
4023a2bc-6325-47db-bfdf-9639e91042c2
70,495
2d2e2acd-dade-489f-a2da-6c11aa654028
PBMC
2a498ace-872a-4935-984b-1afa70fd9886
422,220
03f821b4-87be-4ff4-b65a-b5fc00061da7
Paediatric Human Gut (4-14y)
8e47ed12-c658-4252-b126-381df8d52a3d
22,502
17481d16-ee44-49e5-bcf0-28c0780d8c4a
Single cell RNA-seq data from normal adult kidney tissue
0b4a15a7-4e9e-4555-9733-2423e5c66469
48,783
a98b828a-622a-483a-80e0-15703678befd
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 RNA-seq of the Adult Human Kidney (Version 1.5)
dea717d4-7bc0-4e46-950f-fd7e1cc8df7d
225,177
0f528c8a-a25c-4840-8fa3-d156fa11086f
Single-cell atlas of 24 hormone therapy naive localised prostate cancers
881e0e6b-a185-45f1-9b56-81606e91e7ff
68,322
bdac7a53-fe34-4f04-8c46-f9bd5297c099
Single-cell atlas of peripheral immune response to SARS-CoV-2 infection
456e8b9b-f872-488b-871d-94534090a865
44,721
a72afd53-ab92-4511-88da-252fb0e26b9a
Single-cell reconstruction of follicular remodeling in the human adult ovary
1f1c5c14-5949-4c81-b28e-b272e271b672
20,676
2902f08c-f83c-470e-a541-e463e25e5058
Single-cell sequencing links multiregional immune landscapes and tissue-resident T cells in ccRCC to tumor topology and therapy efficacy
bd65a70f-b274-4133-b9dd-0d1431b6af34
167,283
3f50314f-bdc9-40c6-8e4a-b0901ebfbe4c
Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming
124744b8-4681-474a-9894-683896122708
15,457
c353707f-09a4-4f12-92a0-cb741e57e5f0
Single-cell transcriptomic datasets of Renal cell carcinoma patients
5af90777-6760-4003-9dba-8f945fec6fdf
270,855
f7cecffa-00b4-4560-a29a-8ad626b8ee08
Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease
01209dce-3575-4bed-b1df-129f57fbc031
51,876
24d42e5e-ce6d-45ff-a66b-a3b3b715deaf
Single-nucleus RNA-seq of the Adult Human Kidney (Version 1.5)
a12ccb9b-4fbe-457d-8590-ac78053259ef
304,989
0f528c8a-a25c-4840-8fa3-d156fa11086f
Skin
f512b8b6-369d-4a85-a695-116e0806857f
68,036
43d4bb39-21af-4d05-b973-4c1fed7b916c
Sound Life Young Adult Males, CMV-negative
420d0f5d-b7ba-4b1e-88d0-44e9f733febd
1,712,244
e9360edf-b0b7-4e01-bce8-e596814f13e7
Stellate cells from human healthy donor liver samples
e347396c-a7ff-4691-9f7a-99a43555ca18
1,417
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
Stromal cell diversity associated with immune evasion in human triple‐negative breast cancer
68b6114f-e990-4033-bfb3-c35536633aaa
24,271
16a4f6bc-2457-4e21-9b7a-9ba17c7b66c4
TI epithelial
fe4b89d5-461e-440c-a5a8-621b37b122c0
154,136
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
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
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
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
ccRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
be39785b-67cb-4177-be19-a40ee3747e45
20,509
1df8c90d-d299-4b2e-a54d-a5a80f36e780
colon epithelial
5ce42b38-d867-487f-9b40-e8bb00b21d0b
97,788
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
multimodal benchmarking dataset for renal cortex characterization
60a29d0b-1a37-4447-ac32-00d701580b47
97,125
4cbb929b-b03b-4aa8-a943-00f61dc22641
multiplexed scRNA-seq of 1.2 million PBMCs from adult lupus samples
218acb0f-9f2f-4f76-b90b-15a4b7c7f629
1,263,676
436154da-bcf1-4130-9c8b-120ff9a888f2
non-immune cells
4b6af54a-4a21-46e0-bc8d-673c0561a836
18,386
03cdc7f4-bd08-49d0-a395-4487c0e5a168
normal - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
f801b7a9-80a6-4d09-9161-71474deb58ae
6,044
1df8c90d-d299-4b2e-a54d-a5a80f36e780
organoid
8dc858b0-b076-4326-94bb-7c2d1cd721a3
8,556
ec329aed-22bc-4d6e-8935-8282dcb1acac
progressive_plasticity_during_crc_metastasis_epithelial
829a3cd1-a466-49f1-b2e9-d3f6b7f392e2
47,107
1cbfb478-2c7f-4d15-b522-9f74e9fe52a8
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 surface: cornea, limbus, sclera – fetal data included
8ef06ea4-8d0f-4303-a652-7d4604402b1f
815,769
0f7d022a-46c7-4e64-be4c-e34adbb78089
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 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