Evidence map›Paper›PMID 28165663›Full record

ArticleProteomics2017

Interrogating the hidden phosphoproteome.

Un-Beom Kang, William M Alexander, Jarrod A Marto

Abstract read
In one paragraph

Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Un-Beom KangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
William M AlexanderDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Jarrod A MartoDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Dana-Farber Cancer Institute · USHarvard University · US

Funding

PROJECT 4: Interrogating PP2A Signaling in Human CancersP01CA203655 · NCI · DANA-FARBER CANCER INST · PI DECAPRIO, JAMES A. · 2017 to 2021
$8.0M
Phosphoproteomic signatures for early detection and stratification of AMLR21CA188881 · NCI · DANA-FARBER CANCER INST · PI KENTSIS, ALEX, MARTO, JARROD A. · 2015 to 2016
$420k
NCI NIH HHS P01 CA203655NCI NIH HHS R21 CA188881
6 · The paper itself

Abstract

Postgenomic studies continue to highlight the potential clinical importance of protein phosphorylation signaling pathways in drug discovery. Unfortunately, the dynamic range and variable stoichiometry of protein phosphorylation continues to stymie efforts to achieve comprehensive characterization of the human phosphoproteome. In this study, we develop a complementary, two-stage method for enrichment of cysteine-containing phosphopeptides combined with TMT multiplex labeling for relative quantification. The use of this approach with multidimensional fractionation in mammalian cells yielded more than 7000 unique cys-phosphopeptide sequences, comprising 15-20% novel phosphorylation sites. The use of our approach in combination with pharmacologic inhibitors of the mechanistic target of rapamycin complex 1 and 2 identified several putatively novel protein substrates for the mechanistic target of rapamycin kinase.

Indexed as

Computer SimulationCysteineHEK293 CellsHumansPhosphopeptidesPhosphoproteinsProteomeProteomicsSignal TransductionSubstrate SpecificityTOR Serine-Threonine KinasesCysteinePhosphopeptidesPhosphoproteinsProteomeTOR Serine-Threonine KinasesCysteine-containing phosphoproteomomemammalian target of rapamycin complex 1 and 2mTORQuantitative proteomics

Identifiers

PMID28165663
PMCPMC5526339
OpenAlexW2586207769

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.