|
|
A Single-Cell Atlas of Human White Adipose Tissue
|
ca46ffe6-0a26-4d8d-82fa-81722daf1102
|
166,149
|
fe0e718d-2ee9-42cc-894b-0b490f437dfd
|
|
|
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
|
|
|
Airway
|
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
|
236,977
|
03f821b4-87be-4ff4-b65a-b5fc00061da7
|
|
|
All
|
13149914-ea03-4f01-8bf6-b793b667127b
|
1,665,937
|
4d8fed08-2d6d-4692-b5ea-464f1d072077
|
|
|
All Cells
|
16023185-de21-4c0d-a9c8-73abdd52d142
|
370,115
|
4d82bd8e-8827-410b-8fc7-685b7dd92585
|
|
|
All Cells - snRNA-seq
|
ac0c6561-7a48-4185-af6f-af799f699172
|
432,555
|
c53573b2-eff4-4c5e-9ad0-b24d422dfd9b
|
|
|
All annotated cells from infection 3
|
7b55fe5c-d5c8-48e0-a1a3-54c5b9074f3f
|
125,530
|
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
|
|
|
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
|
|
|
Bronchopulmonary dysplasia
|
d68a8b48-abf0-4bd5-8834-155d34ec448a
|
271,381
|
3a5dbf8a-9b3e-4309-b4c5-d8a024f83734
|
|
|
CAREBANK
|
8f4f8502-9170-4ac2-9707-3b6985ebfe5f
|
221,756
|
8c782494-01ed-491b-97b9-6f0d3b76c676
|
|
|
CD34+ Fetal Bone Marrow, Fetal Liver, Cord Blood (CITE-seq)
|
471647b3-04fe-4c76-8372-3264feb950e8
|
27,998
|
793fdaec-5067-428a-a9db-ecefe135c945
|
|
|
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
|
|
|
Central Cornea
|
a4157949-6f2a-40e2-b960-63f6e2bde918
|
37,485
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
Cholangiocytes from human healthy donor liver samples
|
0c9a8cfb-6649-4d52-b418-6d8e56bd7afe
|
1,011
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
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: 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 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 deep nuclei - CbDN
|
095940cb-7422-4510-96e2-cbafd961eb88
|
52,045
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Precentral gyrus (PrCG) - Primary motor cortex - M1C
|
f32c2c13-bb1a-4ffd-a457-60b64ecfa4cb
|
116,576
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Cerebral cortex (Cx) - Temporal pole (TP) - Temporopolar area - A38
|
c2aad8fc-b63b-4f9b-9cfd-baf7bc9c1771
|
37,642
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: 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
|
acae7679-d077-461c-b857-ee6ccfeb267f
|
39,147
|
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) - efferent nuclei of cranial nerves in pons - PnEN
|
900fdf13-150d-4695-9f8c-4c09105ba2eb
|
47,416
|
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
|
|
|
Endothelial cells from human healthy donor liver samples
|
4ce8d8ec-b94c-4b79-afcb-b094336d8a78
|
9,422
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
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
|
|
|
Fallopian tube samples from pre- and post-menopausal humans
|
0436a180-cb44-47ba-8ffa-807b7a468469
|
131,218
|
380ade76-e561-49a8-afb2-0f10b39c2c72
|
|
|
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 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
|
|
|
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
|
|
|
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
|
|
|
Hippocampus
|
74014ef8-d2d0-4cbc-8ba2-037f30753ffd
|
676,845
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Human Astrocytes 10x scRNA-seq
|
07760522-707a-4a1c-8891-dbd1226d6b27
|
33,506
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Fetal Bone Marrow (CITE-seq)
|
343ff97c-85df-494b-8400-beb937618611
|
8,978
|
793fdaec-5067-428a-a9db-ecefe135c945
|
|
|
Human HYPOMAP single-nucleus data
|
a2c833f7-b7f1-4f4d-ad31-cae478b601b7
|
433,369
|
d0941303-7ce3-4422-9249-cf31eb98c480
|
|
|
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 aging project - all cells
|
1b350d0a-4535-4879-beb6-1142f3f94947
|
1,281,499
|
cc431242-35ea-41e1-a100-41e0dec2665b
|
|
|
Integrated Single-nucleus and Single-cell RNA-seq of the Adult Human Kidney
|
0b75c598-0893-4216-afe8-5414cab7739d
|
304,652
|
bcb61471-2a44-4d00-a0af-ff085512674c
|
|
|
Integrated cancer cell-specific single-cell RNA-seq datasets of immune checkpoint blockade-treated patients
|
7b20c613-9add-43d1-87e9-defd3d9b9f8c
|
355,941
|
61e422dd-c9cd-460e-9b91-72d9517348ef
|
|
|
Iris
|
9a281de7-cee5-4e80-8584-1929f46f152f
|
57,422
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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 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 cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney - RNAseq
|
9df60c57-fdf3-4e93-828e-fe9303f20438
|
19,985
|
9b02383a-9358-4f0f-9795-a891ec523bcc
|
|
|
Single nucleus transcriptomic atlas of human foetal tendon
|
f641d68a-e877-4bb8-afd7-b8fa3921d461
|
91,859
|
7b9ae565-a781-433d-98d4-430394e7802a
|
|
|
Single-cell RNA-seq analysis of Interstitial Lung Disease (ILD) subtypes
|
f14bc322-1322-4184-8d16-409557525ea5
|
471,905
|
07e12576-b41b-4350-adfc-059bfc4328ea
|
|
|
Single-cell RNA-seq of the Adult Human Kidney (Version 1.5)
|
dea717d4-7bc0-4e46-950f-fd7e1cc8df7d
|
225,177
|
0f528c8a-a25c-4840-8fa3-d156fa11086f
|
|
|
Single-cell analysis of prenatal and postnatal human cortical development
|
1a38e762-2465-418f-b81c-6a4bce261c34
|
709,372
|
bacccb91-066d-4453-b70e-59de0b4598cd
|
|
|
Single-cell atlas of 24 hormone therapy naive localised prostate cancers
|
881e0e6b-a185-45f1-9b56-81606e91e7ff
|
68,322
|
bdac7a53-fe34-4f04-8c46-f9bd5297c099
|
|
|
Single-cell 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 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
|
|
|
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-soma transcriptomics of tangle-bearing neurons in Alzheimer’s disease - Excitatory
|
85c60876-7f35-40c5-a256-7808d84c6ba5
|
96,129
|
b953c942-f5d8-434f-9da7-e726ba7c1481
|
|
|
Skin
|
f512b8b6-369d-4a85-a695-116e0806857f
|
68,036
|
43d4bb39-21af-4d05-b973-4c1fed7b916c
|
|
|
Spatiotemporal analysis of human intestinal development at single-cell resolution: All cells
|
9d5df009-eb76-43a3-b6cd-22017cc53700
|
76,592
|
60358420-6055-411d-ba4f-e8ac80682a2e
|
|
|
Stellate cells from human healthy donor liver samples
|
e347396c-a7ff-4691-9f7a-99a43555ca18
|
1,417
|
0c8a364b-97b5-4cc8-a593-23c38c6f0ac5
|
|
|
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
|
|
|
The regulatory landscapes of the human ovarian aging(snRNA-seq)
|
3a702020-cf66-4ef5-9d11-4a5e835b7efb
|
42,568
|
ce781ec4-393a-4902-94a0-5a1ca0b600ca
|
|
|
Total - Cells of the human intestinal tract mapped across space and time
|
80a2c5b6-02e7-4fc0-9f12-179f5247c1bc
|
428,469
|
e33ffcd3-7cbf-4b8c-b0f4-85587ad5019a
|
|
|
Transcriptional connectivity of regulatory T cells in the tumor microenvironment informs novel combination cancer therapy strategies
|
d41f45c1-1b7b-4573-a998-ac5c5acb1647
|
82,991
|
efd94500-1fdc-4e28-9e9f-a309d0154e21
|
|
|
Transcriptome of human posterior ocular segment
|
9f1a899f-05a0-44c5-8aa9-39df61ae4324
|
139,978
|
7855daa4-3f34-4aae-b65a-87720c02e7cd
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
fetal and neonatal human small intestine cells
|
3f32121d-126b-4e8d-9f69-d86502d2a1b1
|
36,359
|
7651ac1a-f947-463a-9223-a9e408a41989
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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 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 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
|
|
|
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
|