Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Proteome and transcriptome integrativecombined analysis

PROVIDER: PRJNA438582 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR6847832.fastq.gz	Fastqsanger.gz
	SRR6847833.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Functional omics analyses reveal only minor effects of microRNAs on human somatic stem cell differentiation [miRNA-Seq]

Project description:Functional analysis of transcriptome (mRNA and microRNA) and proteome formation during treatment of cord-blood derived stem cell lines (USSC) with retinoic acid-containing XXL-medium to estimate the impact of microRNAs on final proteome.

2020-03-09 | GSE144465 | GEO

Quantifying post-transcriptional regulation in the development of Drosophila melanogaster [s2r]

Project description:Proteome and transcriptome often show poor correlation, hindering the system-wide analysis of post-transcriptional regulation. Here, the authors study proteome and transcriptome dynamics during Drosophila embryogenesis and present basic mathematical models describing the temporal regulation of most protein-RNA pairs.

2018-10-13 | GSE121161 | GEO

Quantifying post-transcriptional regulation in the development of Drosophila melanogaster [devel]

2018-10-13 | GSE121160 | GEO

Transcription profiling of rac1 knock-down zebrafish embryos

Project description:Phenotypic, proteome and transcriptome analysis of rac1 knockdown in zebrafish embryos

2008-12-31 | E-MEXP-1593 | biostudies-arrayexpress

Simultaneous deep transcriptome and proteome profiling in single mouse oocytes

Project description:Nowadays, although single-cell multi-omics technologies are undergoing rapid development, simultaneous transcriptome and proteome analysis of a single-cell individual still faces great challenges. Here, we developed a single-cell simultaneous transcriptome and proteome (scSTAP) analysis platform based on microfluidics, high-throughput sequencing and mass spectrometry technology, to achieve deep and joint quantitative analysis of transcriptome and proteome at the single-cell level, providing an important resource for understanding the relationship between transcription and translation in cells. This platform was applied to analyze single mouse oocytes at different meiotic maturation stages, reaching an average quantification depth of 19948 genes and 2663 protein groups in single mouse oocytes.

2023-10-18 | GSE237932 | GEO

Functional omics analyses reveal only minor effects of microRNAs on human somatic stem cell differentiation [mRNA-Seq]

2020-03-09 | GSE144464 | GEO

Project description:Combined transcriptome and proteome analysis of wheat

| PRJNA615781 | ENA

RNAseq and quantitative proteomic analysis of Dictyostelium knock-out cells lacking the core autophagy proteins ATG9 and/or ATG16

Project description:Purpose: Global survey of the transcriptome and comparison to the proteome in autophagy-deficient strains of D. discoideum. Results: Our RNAseq analysis of ATG9‾, ATG16‾ and ATG9‾/16‾ cells revealed major transcriptional changes in a large number of genes in comparison to AX2. Conclusions: Our study provides the first combined transcriptome and proteome analysis of ATG9‾, ATG16‾ and ATG9‾/16‾ cells and adds to our knowledge of functions of these proteins in Dictyostelium discoideum.

2021-05-19 | GSE162070 | GEO

Transcription profiling by high throughput sequencing of HeLa human cancer cell line

Project description:Illumina single-end sequencing of Hela_2 (HeLa cell line). While the number and identity of proteins expressed in a single human cell type is currently unknown, this fundamental question can be addressed by advanced mass spectrometry (MS)-based proteomics. On-line liquid chromatography coupled to high resolution MS and MS/MS yielded more than 150,000 unique peptides that identified more than 10,000 different human proteins encoded by more than 9,000 human genes. Deep transcriptome sequencing revealed transcripts for nearly all detected proteins. We show that the abundances of more than 90% of proteins and transcripts fall within a 10,000-fold range, and allocate the proteome to different compartments, complexes and functions. Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that we achieved almost complete coverage of the functional transcriptome and the proteome of a single cell type.

2011-11-12 | E-MTAB-823 | biostudies-arrayexpress

Project description:Transcriptome and proteome correlation analysis in Poa pratensis

| PRJNA1212585 | ENA