Proteomics

Dataset Information

0

Maximizing Confidence and Sensitivity in Phosphoproteomics reveals novel targets of DNA damage signling Kinases

ABSTRACT: Proteome-wide analysis of phosphorylation events is a challenging, yet essential, task for the comprehensive and unbiased investigation of kinase action. Here we developed a phosphoproteomic approach in which quantitation consistency among reversed isotopically labeled samples is used as a central filtering rule for achieving reliability with minimal loss of data content. Exclusion of non-reverting data-points from the dataset not only reduces quantitation error and variation, but also reduces false positive identifications. Application of our approach identifies new substrates of the Mec1 and Tel kinases, expanding our understanding of the DNA damage signaling network regulated by these kinases.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Saccharomyces Cerevisiae (ncbitaxon:4932)

SUBMITTER: Marcus Smolka  

PROVIDER: MSV000084839 | MassIVE | Fri Jan 24 12:56:00 GMT 2020

REPOSITORIES: MassIVE

Json Xml

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1
altmetric image

Publications

Maximized quantitative phosphoproteomics allows high confidence dissection of the DNA damage signaling network.

Faca Vitor Marcel VM   Sanford Ethan J EJ   Tieu Jennifer J   Comstock William W   Gupta Shagun S   Marshall Shannon S   Yu Haiyuan H   Smolka Marcus B MB  

Scientific reports 20201022 1

The maintenance of genomic stability relies on DNA damage sensor kinases that detect DNA lesions and phosphorylate an extensive network of substrates. The Mec1/ATR kinase is one of the primary sensor kinases responsible for orchestrating DNA damage responses. Despite the importance of Mec1/ATR, the current network of its identified substrates remains incomplete due, in part, to limitations in mass spectrometry-based quantitative phosphoproteomics. Phosphoproteomics suffers from lack of redundanc  ...[more]

Similar Datasets

Proteomics Maximizing Confidence and Sensitivity in quantitative Phosphoproteomics - Targets of Tel1 kinase
2020-01-30 | MSV000084871 | MassIVE
Proteomics Maximizing Confidence and Sensitivity in quantitative Phosphoproteomics
2020-01-29 | MSV000084852 | MassIVE
Proteomics Maximizing Confidence and Sensitivity in quantitative Phosphoproteomics - Targets of Mec1 kinase
2020-01-30 | MSV000084875 | MassIVE
Transcriptomics DNA damage checkpoint kinases regulate a global network of transcription factors
2013-03-31 | E-GEOD-40351 | biostudies-arrayexpress
Transcriptomics DNA damage checkpoint kinases regulate a global network of transcription factors
2013-03-31 | GSE40351 | GEO
Genomics ChIP-seq of cyclin-dependent kinases
| PRJNA257298 | ENA
Genomics Transcriptomic changes driven by oncogenic kinases
| PRJNA525677 | ENA
Genomics Relocalizing transcriptional kinases to activate apoptosis
| PRJNA1029045 | ENA
Genomics ChIP-seq of cyclin-dependent kinases
2014-08-03 | E-GEOD-60027 | biostudies-arrayexpress
Genomics The role of ABL kinases in medulloblastoma
| PRJNA932216 | ENA