A Single-Cell Atlas of Human White Adipose Tissue
ca46ffe6-0a26-4d8d-82fa-81722daf1102
166,149
fe0e718d-2ee9-42cc-894b-0b490f437dfd
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 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 total of 27,092 droplet-based single-nucleus transcriptomes profiled across 11 cell types in the choroid plexus
595c9010-99ec-462d-b6a1-2b2fe5407871
27,092
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
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 - snRNA-seq
ac0c6561-7a48-4185-af6f-af799f699172
432,555
c53573b2-eff4-4c5e-9ad0-b24d422dfd9b
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 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 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-snRNA-Spatial multi-omic map of human myocardial infarction
1c739a3e-c3f5-49d5-98e0-73975e751201
191,795
8191c283-0816-424b-9b61-c3e1d6258a77
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
Anomalous Epithelial Variations and Ectopic Inflammatory Response in Chronic Obstructive Pulmonary Disease
8fbed309-d3d4-441b-b3ff-e2dcbcec2d35
57,918
dc4cd1f7-667a-4c29-ae77-9401b9700d7f
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
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
Central Cornea
a4157949-6f2a-40e2-b960-63f6e2bde918
37,485
63d03351-06be-478e-a0db-f7a653b6b19b
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
DCM/ACM heart cell atlas: All cells
65badd7a-9262-4fd1-9ce2-eb5dc0ca8039
881,081
e75342a8-0f3b-4ec5-8ee1-245a23e0f7cb
Dissection: Amygdaloid complex (AMY) - basolateral nuclear group (BLN) - basolateral nucleus (basal nucleus) - BL
fe1a73ab-a203-45fd-84e9-0f7fd19efcbd
35,285
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: 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: Cerebellum (CB) - Lateral hemisphere of cerebellum - CBL
a59ba9fa-1407-4f15-8c56-d3637421570d
28,028
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Anterior parahippocampal gyrus, posterior part (APH) - Medial entorhinal cortex - MEC
52ea546e-9229-40ef-b048-a2e694dd73e8
50,362
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Cerebral cortex (Cx) - Cingulate gyrus, rostral (CgGr) - Ventral division of MFC - A24
3f31f8ce-bbf6-4df8-8203-aa240ed03026
32,157
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: Cerebral cortex (Cx) - Supramarginal gyrus (SMG) - A40
d288b10a-643e-44bd-b451-96e9588b2ee5
39,053
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Claustrum - Cla
31f04740-c712-4c4b-a3f8-55c0506b3034
40,165
283d65eb-dd53-496d-adb7-7570c7caa443
Dissection: Head of hippocampus (HiH) - Uncal CA2-CA3
bac09168-940b-4b11-8d55-b4955f80b98d
12,461
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: Midbrain (M) - Substantia Nigra - SN
52f18bc3-52d9-487b-bf8f-f0b7aa684b09
59,505
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: Midbrain (RN) - Red Nucleus - RN
470565f2-5afc-456a-b617-18e4496c04fd
4,714
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) - precerebellar nuclei (PrCbN) - inferior olive - IO
1a018108-b4b6-457b-ba15-046d5e98c169
21,534
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) - afferent nuclei of cranial nerves in pons - PnAN
77044335-0ac5-4406-9b3f-8cdd3656d67b
23,349
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 auditory cortex(A1)
e2808a6e-e2ea-41b9-b38c-4a08f1677f02
139,054
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
Dissection: Primary visual cortex(V1)
8d1dd010-5cbc-43fb-83f8-e0de8e8517da
241,077
d17249d2-0e6e-4500-abb8-e6c93fa1ac6f
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 (LNC) - ventral anterior nucleus of thalamus - VA
ed11cc3e-2947-407c-883c-c53b043917c3
8,573
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) - 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 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) - posterior nuclear complex of thalamus (PoN) - lateral geniculate nucleus (LG)
d2514440-d747-4d8d-b2c7-b58ef8b71fbe
48,856
283d65eb-dd53-496d-adb7-7570c7caa443
Epithelial Compartment
ed880090-465d-4477-9d98-70838ca288e3
242,613
9432ae97-4803-4b9f-8f64-2b41e42ad3cb
Esophagus Epithelium
b07fb54c-d7ad-4995-8bb0-8f3d8611cabe
87,947
4d74781b-8186-4c9a-b659-ff4dc4601d91
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
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 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
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
Hippocampus
74014ef8-d2d0-4cbc-8ba2-037f30753ffd
676,845
854c0855-23ad-4362-8b77-6b1639e7a9fc
Human HYPOMAP single-nucleus data
a2c833f7-b7f1-4f4d-ad31-cae478b601b7
433,369
d0941303-7ce3-4422-9249-cf31eb98c480
Human Microglia 10x scRNA-seq
f8d8b443-bca6-4c3c-9042-669dfb7f8030
33,041
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
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 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 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
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
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
Iris
9a281de7-cee5-4e80-8584-1929f46f152f
57,422
63d03351-06be-478e-a0db-f7a653b6b19b
L23IT - neocortex: Human variation study (HVS)
1fc48734-35ee-4372-885c-95fd2674c75a
79,631
35928d1c-36fc-4f93-9a8d-0b921ab41745
Lens
489318a0-24c3-4f5c-b105-f084ed0ea026
13,900
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
Lung
2f132ec9-24b5-422f-9be0-ccef03b4fe28
39,778
6ff3401b-d72c-4940-a00c-3f0792397082
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
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
Non-neuronal cells of the human fovea and peripheral retina
bc7260e0-54cf-4b0b-823d-93f5b850f757
22,125
1d1c7275-476a-49e2-9022-ad1b1c793594
Occipital cortex samples from C9-FTD and age matched control brains
e6361237-ac4e-4c5d-ad8f-f16aca0c0a8f
66,719
aee9c366-f2fb-470b-8937-577d5d87d3fc
Oligo - neocortex: Human variation study (HVS)
e34f3f89-3a48-4173-a06a-9e9803f2e2b9
57,855
35928d1c-36fc-4f93-9a8d-0b921ab41745
Organoid
4023a2bc-6325-47db-bfdf-9639e91042c2
70,495
2d2e2acd-dade-489f-a2da-6c11aa654028
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
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
Pvalb - neocortex: Human variation study (HVS)
4e374783-0152-423e-bcb6-b87cc232f64d
19,711
35928d1c-36fc-4f93-9a8d-0b921ab41745
RADC_Cohort
5e57cd50-8e42-42d6-940d-5c1660d06864
693,682
84ce6837-548d-4a1f-919f-0bc0d9a3952f
SL040
21722308-5091-4b63-9c07-4f116ab9a7b3
135,482
113a558a-e96e-4643-81db-140e95c58578
SL057
145dcf6a-2461-4fa3-a0af-7fc56db0bd33
123,236
113a558a-e96e-4643-81db-140e95c58578
Second Trimester Human Developing Brain Regions and Cortical Areas
ae4f8ddd-cac9-4172-9681-2175da462f2e
457,965
c8565c6a-01a1-435b-a549-f11b452a83a8
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 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 multiomic profiling of human lungs across age groups
3de0ad6d-4378-4f62-b37b-ec0b75a50d94
46,500
625f6bf4-2f33-4942-962e-35243d284837
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
Sncg - neocortex: Human variation study (HVS)
390b376d-8857-4b4b-991f-0d7326938172
4,112
35928d1c-36fc-4f93-9a8d-0b921ab41745
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 Males, CMV-negative
420d0f5d-b7ba-4b1e-88d0-44e9f733febd
1,712,244
e9360edf-b0b7-4e01-bce8-e596814f13e7
Sst - neocortex: Human variation study (HVS)
3079e9b0-c6db-45c8-b998-a4555a73968e
28,943
35928d1c-36fc-4f93-9a8d-0b921ab41745
Subpallial germinal zones and the developing human entorhinal cortex
ecce9688-66ea-4600-98f7-84aed7421c01
124,917
cae8bad0-39e9-4771-85a7-822b0e06de9f
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: 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
Trabecular Meshwork and Corneal Scleral wedge
d967b47c-a9e6-4337-b2f4-977f690cb67f
52,309
63d03351-06be-478e-a0db-f7a653b6b19b
Transcriptional responses of the human dorsal striatum in opioid use disorder implicates cell type-specifc programs
c893ddc3-f25b-45e2-8c9e-155918b4261c
98,848
cec4ef8e-1e70-49a2-ae43-1e6bf1fd5978
Transcriptome of human posterior ocular segment
9f1a899f-05a0-44c5-8aa9-39df61ae4324
139,978
7855daa4-3f34-4aae-b65a-87720c02e7cd
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
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
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
plaque atlas
72955cdb-bd92-4135-aa52-21f33f9640db
259,116
db70986c-7d91-49fe-a399-a4730be394ac
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
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
scRNA-seq of lung biopsies from six human lung transplant cases
429d21fd-bb9a-4abf-922b-c15138524bdd
108,613
9f29fcd0-7075-4420-bd61-e2ec1aebad89
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 anterior and posterior hippocampus
94c41723-b2c4-4b59-a49a-64c9b851903e
129,905
f17b9205-f61f-4a0f-a65a-73ba91c50ade
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 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
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
white matter - all cells
c05e6940-729c-47bd-a2a6-6ce3730c4919
45,528
9d63fcf1-5ca0-4006-8d8f-872f3327dbe9