|
|
A (Balanced) Bone Marrow Reference Map of Hematopoietic Development
|
cd2f23c1-aef1-48ae-8eb4-0bcf124e567d
|
263,159
|
f6c50495-3361-40ed-a819-fb9644396ed9
|
|
|
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
|
|
|
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
|
|
|
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 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 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 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
|
|
|
All_cells
|
58f43044-cd3c-42b8-bc0b-3498eb236359
|
156,726
|
7d66d871-091f-4602-9f42-85f86d2853e0
|
|
|
AmyG region
|
f3c49918-4707-4d92-bb6d-2b5b4eb9d1b4
|
15,177
|
22ccff12-9a18-4b01-ba10-302df57a01f8
|
|
|
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
|
|
|
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
|
|
|
Central Cornea
|
a4157949-6f2a-40e2-b960-63f6e2bde918
|
37,485
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
Ciliary Body
|
1196334f-a441-474a-95ee-400780941690
|
34,132
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
Combined single cell and single nuclei RNA-Seq data - Heart Global
|
d567b692-c374-4628-a508-8008f6778f22
|
704,296
|
3116d060-0a8e-4767-99bb-e866badea1ed
|
|
|
CortexCultures4Days11DaysInVitro
|
4b83f213-b96b-4c87-a884-9b81faddb194
|
22,370
|
644927a3-456b-4e64-b7cd-76547bfc694d
|
|
|
DCM/ACM heart cell atlas: All cells
|
65badd7a-9262-4fd1-9ce2-eb5dc0ca8039
|
881,081
|
e75342a8-0f3b-4ec5-8ee1-245a23e0f7cb
|
|
|
Dissection: Basal forebrain (BF) - septal nuclei - SEP
|
70e4f35b-c98c-45a1-9aa9-2053b07315dd
|
40,815
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Body of hippocampus (HiB) - Rostral CA1-CA3
|
182f6a56-7360-4924-a74e-1772e07b3031
|
28,724
|
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) - Lateral hemisphere of cerebellum - CBL
|
a59ba9fa-1407-4f15-8c56-d3637421570d
|
28,028
|
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) - Temporal pole (TP) - Temporopolar area - A38
|
c2aad8fc-b63b-4f9b-9cfd-baf7bc9c1771
|
37,642
|
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: Midbrain (M) - Inferior colliculus and nearby nuclei - IC
|
5e5ab909-f73f-4b57-98a0-6d2c5662f6a4
|
32,306
|
283d65eb-dd53-496d-adb7-7570c7caa443
|
|
|
Dissection: Midbrain (M) - Substantia Nigra - SN
|
52f18bc3-52d9-487b-bf8f-f0b7aa684b09
|
59,505
|
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: Pons (Pn) - Pontine Nucleus - PN
|
64f4ad90-a422-400a-944d-4ce0f39594a7
|
33,641
|
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: Spinal cord - SpC
|
090da8ea-46e8-40df-bffc-1f78e1538d27
|
24,190
|
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
|
|
|
Fetal kidney dataset: full
|
d7dcfd8f-2ee7-4385-b9ac-e074c23ed190
|
27,197
|
120e86b4-1195-48c5-845b-b98054105eec
|
|
|
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
|
|
|
Global
|
1b9d8702-5af8-4142-85ed-020eb06ec4f6
|
329,762
|
62ef75e4-cbea-454e-a0ce-998ec40223d3
|
|
|
HNOCA Extended: The Human Neural Organoid Atlas
|
d7f5d8d0-6150-48d7-b094-c34286ad11a1
|
1,920,454
|
de379e5f-52d0-498c-9801-0f850823c847
|
|
|
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
|
|
|
Human Astrocytes 10x scRNA-seq
|
07760522-707a-4a1c-8891-dbd1226d6b27
|
33,506
|
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 abdominal subcutaneous and intraabdominal white adipose tissue - 22 integrated samples
|
9d8e5dca-03a3-457d-b7fb-844c75735c83
|
72,335
|
6b701826-37bb-4356-9792-ff41fc4c3161
|
|
|
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 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 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 Single-nucleus and Single-cell RNA-seq of the Adult Human Kidney
|
0b75c598-0893-4216-afe8-5414cab7739d
|
304,652
|
bcb61471-2a44-4d00-a0af-ff085512674c
|
|
|
Ischemia-snRNA-Spatial multi-omic map of human myocardial infarction
|
f15e263b-6544-46cb-a46e-e33ab7ce8347
|
19,722
|
8191c283-0816-424b-9b61-c3e1d6258a77
|
|
|
Lens
|
489318a0-24c3-4f5c-b105-f084ed0ea026
|
13,900
|
63d03351-06be-478e-a0db-f7a653b6b19b
|
|
|
Lung
|
2f132ec9-24b5-422f-9be0-ccef03b4fe28
|
39,778
|
6ff3401b-d72c-4940-a00c-3f0792397082
|
|
|
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: Superior frontal gyrus
|
6c600df6-ddca-4628-a8bb-1d6de1e3f9b4
|
63,608
|
180bff9c-c8a5-4539-b13b-ddbc00d643e6
|
|
|
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
|
|
|
Pancreas
|
31f657dc-1875-4c4b-a5ca-ce63b3ef3a82
|
121,916
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Photoreceptor cells of the human fovea and peripheral retina
|
7b75b2c4-6d99-40be-9a61-391455d859e6
|
9,070
|
1d1c7275-476a-49e2-9022-ad1b1c793594
|
|
|
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
|
|
|
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
|
|
|
Sex-Specific Control of Human Heart Maturation by the Progesterone Receptor.
|
99e317c0-1fab-4f73-b511-859e752fd1c3
|
51,176
|
68e7e5b7-4dc9-4609-832e-7656aa6182ba
|
|
|
Single cell RNA sequencing of follicular lymphoma
|
99950e99-2758-41d2-b2c9-643edcdf6d82
|
137,147
|
968834a0-1895-40df-8720-666029b3bbac
|
|
|
Single cell RNA-seq of human heart cells
|
2e9d2f32-4cfb-49b5-b990-cbf4c241214e
|
49,359
|
20eea6c8-9d64-42c9-9b6f-c11b5249e0e9
|
|
|
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 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-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
|
|
|
Sound Life Young Adult Males, CMV-negative
|
420d0f5d-b7ba-4b1e-88d0-44e9f733febd
|
1,712,244
|
e9360edf-b0b7-4e01-bce8-e596814f13e7
|
|
|
TI immune
|
a37f857c-779f-464e-9310-3db43a1811e7
|
201,072
|
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: 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
|
|
|
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
|
|
|
human cHSPCs - Ultima
|
4a5b00e0-1ba3-4fd4-af89-d3512eb20720
|
516,121
|
5542eeb0-96ef-4ab9-95ea-eb6abc178461
|
|
|
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
|
|
|
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 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
|
|
|
snRNA-seq data - all cells
|
7f08cbcc-5790-4576-8478-10e9a999b316
|
117,346
|
4195ab4c-20bd-4cd3-8b3d-65601277e731
|
|
|
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
|
|
|
snRNA-seq of the human quadriceps tendon
|
acd544d0-4d8b-46c7-98b3-fc48f7e6fdb7
|
12,808
|
579203e2-182f-47bc-8230-7aa47247e2a4
|