|
|
3-prime FGID data
|
6ceeaa86-9ceb-4582-b390-6d4dd6ff0572
|
89,849
|
a064d795-3b77-44ae-9fb5-beb57c567443
|
|
|
A (Balanced) Bone Marrow Reference Map of Hematopoietic Development
|
cd2f23c1-aef1-48ae-8eb4-0bcf124e567d
|
263,159
|
f6c50495-3361-40ed-a819-fb9644396ed9
|
|
|
A Single-Cell Transcriptome Atlas of the Human Pancreas
|
b07e5164-baf6-43d2-bdba-5a249d0da879
|
2,126
|
6e8c5415-302c-492a-a5f9-f29c57ff18fb
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
All
|
13149914-ea03-4f01-8bf6-b793b667127b
|
1,665,937
|
4d8fed08-2d6d-4692-b5ea-464f1d072077
|
|
|
All Cells
|
16023185-de21-4c0d-a9c8-73abdd52d142
|
370,115
|
4d82bd8e-8827-410b-8fc7-685b7dd92585
|
|
|
All Cells - snRNA-seq
|
ac0c6561-7a48-4185-af6f-af799f699172
|
432,555
|
c53573b2-eff4-4c5e-9ad0-b24d422dfd9b
|
|
|
All annotated cells from infection 1
|
2ac76f1b-43ef-4271-8686-2f165570989f
|
48,226
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All annotated cells from infection 2
|
7f7faf6b-f11d-4f07-bc1c-188a4472748d
|
134,076
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All annotated cells from infection 3
|
7b55fe5c-d5c8-48e0-a1a3-54c5b9074f3f
|
125,530
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All annotated cells from infection 4
|
7c497c66-c2e2-4291-8b96-339e5e65f314
|
76,298
|
2a9a17c9-1f61-4877-b384-b8cd5ffa4085
|
|
|
All 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 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-snRNA-Spatial multi-omic map of human myocardial infarction
|
1c739a3e-c3f5-49d5-98e0-73975e751201
|
191,795
|
8191c283-0816-424b-9b61-c3e1d6258a77
|
|
|
All_cells
|
58f43044-cd3c-42b8-bc0b-3498eb236359
|
156,726
|
7d66d871-091f-4602-9f42-85f86d2853e0
|
|
|
An Integrated Single Cell Meta-atlas of Human Periodontitis
|
9fcb0b73-c734-40a5-be9c-ace7eea401c9
|
105,918
|
71f4bccf-53d4-4c12-9e80-e73bfb89e398
|
|
|
An integrated cell atlas of the human lung in health and disease (full)
|
9f222629-9e39-47d0-b83f-e08d610c7479
|
2,282,447
|
6f6d381a-7701-4781-935c-db10d30de293
|
|
|
Anomalous Epithelial Variations and Ectopic Inflammatory Response in Chronic Obstructive Pulmonary Disease
|
8fbed309-d3d4-441b-b3ff-e2dcbcec2d35
|
57,918
|
dc4cd1f7-667a-4c29-ae77-9401b9700d7f
|
|
|
Bipolar cells of the human fovea and peripheral retina
|
8623d55f-d91c-41c2-ae68-ed2072fd268d
|
25,908
|
1d1c7275-476a-49e2-9022-ad1b1c793594
|
|
|
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
|
|
|
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
|
|
|
Cholangiocytes from human healthy donor liver samples
|
0c9a8cfb-6649-4d52-b418-6d8e56bd7afe
|
1,011
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
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
|
|
|
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: Cerebral cortex (Cx) - Superior occipital gyrus (SOG) - Areas 19 and MT - A19
|
fa554686-fc07-44dd-b2de-b726d82d26ec
|
29,674
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Epithelial Compartment
|
ed880090-465d-4477-9d98-70838ca288e3
|
242,613
|
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
|
|
|
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
|
|
|
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 3
|
e500acbf-f166-4c46-b290-f93506cf26d3
|
37,428
|
7dd599c5-d25d-40c0-b1a6-8789791ca808
|
|
|
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
|
|
|
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 Atlas
|
de5416ef-bbfa-41f3-99d4-01a3554173f5
|
621,200
|
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
|
|
|
Global dataset of infant KMT2Ar B-ALL
|
cf83c98a-3791-4537-bbde-a719f6d73c13
|
128,588
|
10ec9198-584e-4a7e-8a24-4a332915a4ef
|
|
|
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
|
|
|
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
|
|
|
High-Resolution Transcriptomic Landscape of the Human Submandibular Gland
|
4a90bbba-df97-4a28-83ae-7386fe7d9167
|
15,684
|
964581c3-b5ac-494d-9bd4-0dcb6fb058da
|
|
|
Hippocampus
|
74014ef8-d2d0-4cbc-8ba2-037f30753ffd
|
676,845
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Human 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 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 aging project - all cells
|
1b350d0a-4535-4879-beb6-1142f3f94947
|
1,281,499
|
cc431242-35ea-41e1-a100-41e0dec2665b
|
|
|
Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19
|
de2c780c-1747-40bd-9ccf-9588ec186cee
|
59,572
|
4f889ffc-d4bc-4748-905b-8eb9db47a2ed
|
|
|
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
|
|
|
Integrated HBCA
|
55003f67-c494-46f1-83fb-902745646379
|
2,122,065
|
48259aa8-f168-4bf5-b797-af8e88da6637
|
|
|
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 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
|
|
|
Integrated transcriptomes of the 14 pancreatic islet cell types
|
e51bae9a-c747-4b64-904a-4da7cda218ab
|
245,878
|
58e85c2f-d52e-4c19-8393-b854b84d516e
|
|
|
Integration of Day 8 iPSC-Derived Embryoid Bodies with Human Embryo Published Data (10X sc-RNA-seq; Wellington et al. 2024)
|
589fe605-6d49-4abe-bff8-1675511c689a
|
41,670
|
4a2c25af-558a-45fc-bc9a-54ec44a1d63f
|
|
|
Iris
|
9a281de7-cee5-4e80-8584-1929f46f152f
|
57,422
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
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
|
|
|
Living donor kidney
|
0bae7ebf-eb54-46a6-be9a-3461cecefa4c
|
27,675
|
dc3a5256-5c39-4a21-ac0c-4ede3e7b2323
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
Non-pregnant Uterus (Endometrium - Organoid)
|
76150f40-1989-4977-9e23-696e72d59d9e
|
118,672
|
32f2fd23-ec74-486f-9544-e5b2f41725f5
|
|
|
Olah et al (2020) Single-cell Human Microglia
|
a1b9c51e-a408-4f7f-bccb-abefe20ae2a5
|
16,245
|
fcb3d1c1-03d2-41ac-8229-458e072b7a1c
|
|
|
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
|
|
|
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
|
|
|
Pregnant Uterus (All)
|
5bc42b88-bb76-4954-927b-8bb7369adc64
|
70,325
|
a9254216-6cd8-4186-b32c-349363777584
|
|
|
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 data from normal adult kidney tissue
|
0b4a15a7-4e9e-4555-9733-2423e5c66469
|
48,783
|
a98b828a-622a-483a-80e0-15703678befd
|
|
|
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 reveals cell subsets and gene signatures associated with Rheumatoid Arthritis Disease Activity
|
d18736c3-6292-4379-919a-d6d973204c87
|
108,717
|
e1a9ca56-f2ee-435d-980a-4f49ab7a952b
|
|
|
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 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 transcriptomic analysis of human dorsal root ganglion neurons
|
d973ea15-3722-4bc8-a0e8-1d956d26e203
|
1,837
|
741abcf7-af4b-425d-88db-7e0b0d845719
|
|
|
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
|
|
|
Stellate cells from human healthy donor liver samples
|
e347396c-a7ff-4691-9f7a-99a43555ca18
|
1,417
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
Stromal Compartment
|
75011e96-ba37-4977-a539-fbf9f66a5e37
|
104,032
|
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
|
|
|
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
|
|
|
Total - Cells of the human intestinal tract mapped across space and time
|
80a2c5b6-02e7-4fc0-9f12-179f5247c1bc
|
428,469
|
e33ffcd3-7cbf-4b8c-b0f4-85587ad5019a
|
|
|
Trabecular Meshwork and Corneal Scleral wedge
|
d967b47c-a9e6-4337-b2f4-977f690cb67f
|
52,309
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies
|
d41f45c1-1b7b-4573-a998-ac5c5acb1647
|
82,991
|
efd94500-1fdc-4e28-9e9f-a309d0154e21
|
|
|
Transcriptome of human posterior ocular segment
|
9f1a899f-05a0-44c5-8aa9-39df61ae4324
|
139,978
|
7855daa4-3f34-4aae-b65a-87720c02e7cd
|
|
|
UMAP of Cancer Data integration
|
7bb64315-9e5a-41b9-9235-59acf9642a3e
|
293,823
|
a18474f4-ff1e-4864-af69-270b956cee5b
|
|
|
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
|
|
|
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
|
|
|
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_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
|
|
|
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
|
|
|
progressive_plasticity_during_crc_metastasis_epithelial
|
829a3cd1-a466-49f1-b2e9-d3f6b7f392e2
|
47,107
|
1cbfb478-2c7f-4d15-b522-9f74e9fe52a8
|
|
|
scRNA-seq analysis of human fallopian tubes in healthy Vs. hydrosalphinx states
|
b693123e-95e6-4331-8b50-f367489a767e
|
77,536
|
fc77d2ae-247d-44d7-aa24-3f4859254c2c
|
|
|
scRNA-seq data - all cells
|
842c6f5d-4a94-4eef-8510-8c792d1124bc
|
714,331
|
4195ab4c-20bd-4cd3-8b3d-65601277e731
|
|
|
scRNA-seq 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 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 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
|