Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Agalychnis callidryas

ABSTRACT: Agalychnis callidryas Transcriptome

PROVIDER: PRJNA259743 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1561000.fastq.gz	Fastqsanger.gz
	SRR1561050.fastq.gz	Fastqsanger.gz
	SRR1560931.fastq.gz	Fastqsanger.gz
	SRR1561051.fastq.gz	Fastqsanger.gz
	SRR1560992.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 20

Similar Datasets

Agalychnis callidryas

Project description:Agalychnis callidryas

| PRJNA1183772 | ENA

Agalychnis callidryas

Project description:Agalychnis callidryas overview

| PRJNA398425 | ENA

Project description:Agalychnis moreletii - shotgun WGS. Illumina MiSeq paired-end.

| PRJNA510299 | ENA

Agalychnis callidryas isolate:ENS 8521

Project description:Agalychnis callidryas isolate:ENS 8521 Targeted loci cultured

| PRJNA338530 | ENA

Intestinal Microbiome, Oral Microbiome, and Whole Blood Transcriptome Analyses in Gastrointestinal Malignancies

Project description:The primary objective of this prospective observational study is to characterize the gut and oral microbiome as well as the whole blood transcriptome in gastrointestinal cancer patients and correlate these findings with cancer type, treatment efficacy and toxicity. Participants will be recruited from existing clinical sites only, no additional clinical sites are needed.

| 2742033 | ecrin-mdr-crc

Surgical Treatment and Molecular Marker Exploration of Locally Recurrent Colorectal Cancer

Project description:This study intends to explore the clinicopathological characteristics and survival prognosis of locally recurrent colorectal cancer patients with different treatment modes by retrospectively analyzing the medical records of locally recurrent colorectal cancer patients who received hospitalization in our center. Transcriptome sequencing and public databases were used to screen for molecular markers related to locally recurrent colorectal cancer and to explore molecular markers’ regulatory role in the progression of locally recurrent colorectal cancer.

| 116635 | ecrin-mdr-crc

Precision Medicine for Colorectal Cancer Liver Metastasis Guided by Multi-omics Data Under the Umbrella Theory

Project description:In order to more accurately discover the cause of drug resistance in tumor treatment, and to provide a new basis for precise treatment. Therefore, based on the umbrella theory of precision medicine, we carried out this single-center, prospective, and observational study to include patients with liver metastases from colorectal cancer. By combining genome, transcriptome, and proteomic sequencing data, we established a basis for colorectal cancer liver Transfer the multi-omics data of the sample, describe the reason for the resistance of the first-line treatment, and search for new therapeutic targets.

| 2349788 | ecrin-mdr-crc

Venom proteome of the box jellyfish Chironex fleckeri

Project description:Transcriptome and venom proteome of the box jellyfish Chironex fleckeri.

2015-04-14 | MSV000079108 | MassIVE

OsVTC1-1 RNAi mutant with reduction of ascorbic acid syn-thesis alters cell wall-associated proteins

Project description:In this study, we characterized wild type and OsVTC1-1 RNAi lines (RI1-2 and RI1-3) and studied the role by using transcriptome and proteome.

2023-04-01 | PXD032884 | JPOST Repository

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

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