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MetabolomicsSingle-cell metabolic fingerprints discover a cluster of circulating tumor cells with distinct metastatic potential

Circulating tumor cells (CTCs) are recognized as direct seeds of metastasis. However, CTC count may not be the 'best' indicator of metastatic risk because their heterogeneity is generally neglected. In this study, we develop a molecular typing system to predict colorectal cancer metastasis potent...

2023-08-21 | MTBLS5028 | MetaboLights
UnknownCytoplasmic Endonuclease G promotes nonalcoholic fatty liver disease via mTORC2-AKT-ACLY and endoplasmic reticulum stress.
Not available
S-EPMC10550995 | biostudies-literature
UnknownInverse-designed plasmonic biosensors with LSPR-SPP-wood anomaly coupling enhanced for biomolecular analysis.
Not available
S-EPMC12821191 | 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
UnknownScavenger receptor class B, type 1 facilitates cellular fatty acid uptake.
Not available
S-EPMC6957692 | biostudies-literature
ProteomicsIntegrated Proteogenomic Characterization of Medullary Thyroid Carcinoma
Global proteome data for 102 MTC samples, and phosphoproteome data for 74 MTC samples
ORGANISM(S): Homo Sapiens 
2022-04-01 | PXD032887 |
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