Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

OEX_RNA seq_2003311042

ABSTRACT: RNA sequencing for Kras, Kras/P53, Kras/Lkb1 lung ADC

TISSUE(S): ['lung']

DISEASE(S): ['lung Adenocarcinoma']

SUBMITTER: Xinyuan Tong

PROVIDER: OEX00002292 | NODE | 2020-11-17

REPOSITORIES: NODE

ACCESS DATA

Json Xml

Similar Datasets

Identification of the molecular basis of anti-cancer effect of Huaier.

Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None. Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes. For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..

| 2612481 | ecrin-mdr-crc

Characterization of a macrophage population under the control of nerves in the gastrointestinal tract

Project description:Primary objectives: Characterization of the macrophage population subset that is modulated by enteric neurons Primary endpoints: Characterization of the macrophage population subset that is modulated by enteric neurons via RNA sequencing

| 2538227 | ecrin-mdr-crc

Molecular mechanism of interaction between IL1B + alveolar resident macrophages and pulmonary endothelial cells in sepsis induced lung injury based on single-cell RNA seq

Project description:Sepsis is a serious systemic inflammatory reaction, which often leads to acute lung injury, and then affects lung function. This study aimed to explore the molecular mechanism of the interaction between il1b+ alveolar resident macrophages and pulmonary endothelial cells during sepsis induced lung injury using single-cell RNA sequencing technology.

| PXD062802 |

Identification of the molecular basis of anti-cancer effect of Huaier.

Project description:Intervention type:DRUG Name of intervention:Huaier Dose form / Japanese Medical Device Nomenclature:GRANULES Route of administration / Site of application:ORAL Dose per administration:20? g Dosing frequency / Frequency of use:OTHER, SPECIFY 20g? per day Planned duration of intervention:3 months to extending if necessary Intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary detailes of teratment arms:hepatocellular carcinoma, breast cancer, colorectal cancer and related gastrointestinal cancers, urologic cancers including prostate cancer, pancreas cancer, and lung cancer, etc. Comparative intervention name:None Dose form / Japanese Medical Device Nomenclature: Route of administration / Site of application: Dose per administration: Dosing frequency / Frequency of use: Planned duration of intervention: Intended dose regimen: Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes. For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis. Study Design: Comparative test, None, No, open(masking not used), EXPLORATORY

| 98681 | ecrin-mdr-crc

Mechanism of TP53 and RB1 inactivation-induced neuroendocrine phenotype transformation in TKI-resistant lung adenocarcinoma

Project description:In order to study the mechanism of co-inactivation of RB1 and TP53 in the transformation of lung adenocarcinoma to small cell lung cancer, we established the NCI-H1975 cell line with RB1 knockdown.NCI-H1975 cells were cultured and infected with lentivirus expressing RB1-shRNA (n=3) or pLKO.1-shRNA (n=3), We then performed transcriptome sequencing (RNA-seq) on the above cells.

2023-08-20 | PXD042073 | Pride

MALAT1 (metastasis-associated lung adenocarcinoma transcript 1) Human HCC proteomics

Project description:The long noncoding RNA MALAT1 (metastasis-associated lung adenocarcinoma transcript 1), also known as MALAT-1 or NEAT2 (nuclear-enriched abundant transcript 2), is a highly conserved nuclear noncoding RNA (ncRNA). Two molecular functions of MALAT1 have been proposed, one is the control of alternative splicing and the other is the transcriptional regulation. To uncover its function in HCC, we knock down it in human HCC LM3 cell lines, and profiling the sample with LC/MS/MS and RNA sequencing.

2021-09-21 | PXD016790 | Pride

GNPS-Cystic Fibrosis Lung Tissue Patient1

Project description:Left human lung associated with cystic fibrosis was sectioned in to small cubes and analyzed by sequencing and mass spectrometry

2016-04-15 | MSV000079652 | GNPS

Multiomics Sample Preparation Workflow for Simultaneous Cleanup of DNA, RNA, and Proteins using ProMTag

Project description:Typical multiomics studies employ separate methods for DNA, RNA, and protein sample preparation, which is labor intensive, costly, and prone to sampling bias. We describe here a method for preparing high-quality DNA, RNA, and protein or peptides for whole genome sequencing, RNA sequencing, and whole proteome analysis from a single sample. This method utilizes a reversible protein tagging scheme to covalently link all proteins in a lysate to a bead-based matrix and nucleic acid precipitation and selective solubilization to yield separate pools of protein and nucleic acids. The proteins are then digested to generate peptides ready for mass spectrometric proteome analysis. We demonstrate the utility of this method to compare the genomes, transcriptomes, and proteomes of four triple-negative breast cancer cell lines with different degrees of malignancy. These data show the involvement of both RNA and associated proteins, and protein-only dependent pathways that distinguish these cell lines. We also demonstrate the utility of this multiomics workflow for tissue analysis using mouse brain, liver and lung tissue.

2023-08-29 | MSV000092780 | MassIVE

Project description:Lung tissue RNA sequencing

| PRJNA884805 | ENA

The combination human 13 gene mutation Detection kit (reversible terminal termination sequencing) complements the clinical trial

Project description:Interventions: Gold Standard:Comparison methods :(1) comparison of similar kits;(2) Sequencing method;Index test:Human 13 gene mutation Combination Detection Kit (reversible terminal termination sequencing method) Primary outcome(s): Lung and gastrointestinal tumor genes Study Design: Sequential

| 2696826 | ecrin-mdr-crc

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data