Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Hemerophila diva

ABSTRACT: Hemerophila diva Transcriptome or Gene expression

PROVIDER: PRJNA222327 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1005851_1.fastq.gz	Fastqsanger.gz
	SRR1005851_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Biomarks of Resistance to Cetuximab in Colorectal Cancer

Project description:Interventions: A group:Before using cetuximab;B group:After progression of disease:no Primary outcome(s): KRAS gene sequence;NRAS gene sequence;BRAF gene sequence;PIK3CA gene sequence;EGFR gene sequence;EGFR gene copy numbers;EGFR expression;Her2 expression;c-Met expression;PTEN expression Study Design: historical control

| 2671639 | ecrin-mdr-crc

TR study of ‘multicenter Phase II study to evaluate efficacy and safety of combination therapy with trastuzumab and pertuzumab in patients with HER2-positive metastatic colorectal cancer&quot

Project description:Primary outcome(s): Cancer-related gene alteration, expression of protein, and expression of RNA

| 2645675 | ecrin-mdr-crc

TR study of ‘A multicenter phase II study of eribulin monotherapy in patients with BRAF V600E mutant metastatic colorectal cancer (BRAVERY study)&quot

Project description:Primary outcome(s): cancer-related gene alteration, gene expression, microsatellite instability, BRAF mutant allele frequency

| 2646701 | ecrin-mdr-crc

Transcriptome and proteome derived networks reveal distinct and complementary gene relationships

Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.

| MSV000079290 | MassIVE

Transcriptome and proteome derived networks reveal distinct and complementary gene relationships - additional phosphoproteomics data

| MSV000079303 | MassIVE

RNA-sequencing of cells

Project description:Homo sapiens Transcriptome or Gene expression

| OEX00001749 | NODE

Gene expression analaysis of the lateral spreading tumor

Project description:Primary outcome(s): Gene expression of targeted genes

| 2625389 | ecrin-mdr-crc

Embryonic stem sell differentiation time course

Project description:During in vitro differentiation, pluripotent stem cells undergo extensive remodeling of their gene expression profiles. While studied extensively at the transcriptome level, much less is known about protein dynamics, which might differ significantly from their mRNA counterparts. Here, we present deep proteome-wide measurements of protein levels during the differentiation of embryonic stem cells.

2017-01-10 | MSV000080461 | MassIVE

Transcriptomic and Proteomic Signatures of Stemness and Differentiation in the Colon Crypt

Project description:The intestinal epithelium is replaced weekly by non-quiescent stem cells with kinetics that rely on a rapid loss of stemness and choice for secretory or absorptive lineage differentiation. To determine how the cellular transcriptome and proteome changes during these transitions, we developed a new cell sorting method to purify stem cells, secretory and absorptive progenitor cells, and mature, differentiated cells. Transcriptome analyses revealed that as stem cells transition to the progenitor stage, alternative mRNA splicing and polyadenylation dominate changes in the transcriptome. In contrast, as progenitors differentiate into mature cell types, alterations in gene expression and mRNA levels drive the changes. RNA processing targets mRNAs encoding regulators of cell cycle, RNA regulators, cell adhesion, SUMOylation, and Wnt and Notch signaling. Additionally, carrier-assisted mass spectrometry of sorted cell populations detected >2,800 proteins and revealed RNA:protein patterns of abundance and correlation. Paired together, these data highlight new potentials for autocrine and feedback regulation and provide new insights into cell state transitions in the crypt.

2020-07-15 | PXD019351 | JPOST Repository

TR study of ‘A multi-center proof-of-concept phase2 study of encorafenib + binimetinib + cetuximab in patients with BRAF non-V600E mutated metastatic colorectal cancer (BIGBANG study)&quot

Project description:Primary outcome(s): Cancer related genome analysis, gene expression and molecular characterization analysis

| 2647002 | ecrin-mdr-crc