|
|
3-prime FGID data
|
6ceeaa86-9ceb-4582-b390-6d4dd6ff0572
|
89,849
|
a064d795-3b77-44ae-9fb5-beb57c567443
|
|
|
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
|
|
|
Airway
|
edc8d3fe-153c-4e3d-8be0-2108d30f8d70
|
236,977
|
03f821b4-87be-4ff4-b65a-b5fc00061da7
|
|
|
All cells
|
3dc61ca1-ce40-46b6-8337-f27260fd9a03
|
71,752
|
2d2e2acd-dade-489f-a2da-6c11aa654028
|
|
|
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
|
|
|
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
|
|
|
Cellular and transcriptional diversity over the course of human lactation
|
0920bcb8-4b3a-4e9d-a353-56f529fd3b32
|
48,478
|
e77163ca-8214-4e86-8b37-4f65a2ddae13
|
|
|
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
|
|
|
Heart
|
364bd0c7-f7fd-48ed-99c1-ae26872b1042
|
931,012
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Human Fetal Retina Atlas
|
aecc2743-4ff2-4b55-ac8c-a1ff76fc4bb4
|
108,838
|
c11009b8-b113-4a99-9890-78b2f9df9d79
|
|
|
Human Nurr-Negative Nuclei 10x scRNA-seq
|
dea1aa78-c0a2-413f-b375-f91cce49e4d0
|
104,097
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human Oligodendrocytes 10x scRNA-seq
|
5829c7ba-697f-418e-8b98-d605b192dc48
|
178,815
|
b0f0b447-ac37-45b0-b1bf-5c0b7d871120
|
|
|
Human muscle cells and nuclei
|
b3c9904b-2ffd-4038-8620-ee1c5b072e9c
|
183,161
|
2d40e6a7-f2fd-49ba-9db9-6b97e4c6dad5
|
|
|
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
|
|
|
Liver
|
1d89d081-f43d-401a-be76-bd6ef9259f4e
|
259,678
|
854c0855-23ad-4362-8b77-6b1639e7a9fc
|
|
|
Lung
|
2f132ec9-24b5-422f-9be0-ccef03b4fe28
|
39,778
|
6ff3401b-d72c-4940-a00c-3f0792397082
|
|
|
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
|
|
|
Olah et al (2020) Single-cell Human Microglia
|
a1b9c51e-a408-4f7f-bccb-abefe20ae2a5
|
16,245
|
fcb3d1c1-03d2-41ac-8229-458e072b7a1c
|
|
|
Photoreceptor cells of the human fovea and peripheral retina
|
7b75b2c4-6d99-40be-9a61-391455d859e6
|
9,070
|
1d1c7275-476a-49e2-9022-ad1b1c793594
|
|
|
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 analysis of prenatal and postnatal human cortical development
|
1a38e762-2465-418f-b81c-6a4bce261c34
|
709,372
|
bacccb91-066d-4453-b70e-59de0b4598cd
|
|
|
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-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
|
|
|
Time-resolved Systems Immunology Reveals a Late Juncture Linked to Fatal COVID-19: Adaptive Cells
|
21d3e683-80a4-4d9b-bc89-ebb2df513dde
|
246,964
|
ed9185e3-5b82-40c7-9824-b2141590c7f0
|
|
|
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
|
|
|
colon stromal
|
6cf3634d-e911-44ad-bf52-c747a9af3c01
|
39,433
|
5c868b6f-62c5-4532-9d7f-a346ad4b50a7
|
|
|
human endoderm organoid cell atlas
|
6725ee8e-ef5b-4e68-8901-61bd14a1fe73
|
806,646
|
6282a908-f162-44a2-99a3-8a942e4271b2
|
|
|
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
|