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UnknownSingle-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer.
Not available
S-EPMC10447252 | biostudies-literature
ProteomicsProteomic analysis of the invasiveness of human bladder cancer cells
To identification of key drivers involved in the development of muscle invasive bladder cancer, which displays poor prognosis, we isolated one subpopulation of human 5637 bladder cancer cells with highly invasiveness and the other subpopulation of 5637 cells with low invasiveness by Transwell method...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2018-08-27 | MSV000082854 | MassIVE
UnknownA spatially resolved atlas of gastric cancer characterises a lymphocyte-aggregated region.
Not available
S-EPMC12948980 | biostudies-literature
Genomicsena-DATASET-BIOPIC-06-06-2018-15:24:14:117-163 - samples
bulk RNA-seq data of the 5 HCC patinets. Single cell RNA seq data of these patients was under the accession number EGAD00001003337
EGAD00001004148 | EGA
Genomicsena-DATASET-BIOPIC-06-06-2018-15:55:49:835-165 - samples
bulk Exome-seq data of the 5 HCC patinets. Single cell RNA seq data of these patients was under the accession number EGAD00001003337
EGAD00001004149 | EGA
Genomicsena-DATASET-BIOPIC-16-05-2017-14:34:15:534-498 - samples
T cells isolated from peripheral blood, tumors and adjacent normal tissues from six hepatocellular carcinoma patients. SmartSeq2 and Tang2009 protocol were used to amplify RNA from single T cells. High depth enables simultaneously expression profiling and TCR assembling.
EGAD00001003337 | EGA
GenomicsSingle-cell RNA sequencing on 5063 single T cells isolated from peripheral blood, tumour and adjacent normal tissues from six hepatocellular carcinoma patients.
Single-cell RNA sequencing on 5063 single T cells isolated from peripheral blood, tumour and adjacent normal tissues from six hepatocellular carcinoma patients. The transcriptional properties of these individual cells, coupled with the assembled T cell receptor (TCR) sequences, were used to delineat...
EGAS00001002072 | EGA
GenomicsPeking University BIOPIC Data Access Committee (PUBDAC).The DATA ACCESS AGREEMENT is provided at https://github.com/zhangyybio/single-T-cell-data-access. Applicants can request access to the data by directly downloading it or by sending an email to cancerpku@pku.edu.cn. The process that is used to approve an application includes verifying the institution, participants and research purposes of the application. In general this process will take about two weeks. In principal, any academic research
Data Access Committee EGAC00001000551
EGAC00001000551 | EGA
Genomicseaa4975f-4514-44a7-baa4-9404c42156a2 - samples
Whole genome sequencing dataset of 54 tumor/normal samples of 25 cHCC-ICC cases.
EGAD00001005181 | EGA
Genomics61f6508f-ab66-4d36-ad86-028a0ff97746 - samples
The whole exome sequencing data of 291 tumor/normal samples from 121 cHCC-ICC cases.
EGAD00001005183 | EGA
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