Evidence map›Paper›PMID 28088696›Full record

ReviewCurrent opinion in chemical biology2017

Cell-selective proteomics for biological discovery.

Shannon E Stone, Weslee S Glenn, Graham D Hamblin, David A Tirrell

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  12. Tissue mechanics coevolves with fibrillar matrisomes in healthy and fibrotic tissues.Matrix biology : journal of the International Society for Matrix Biology · 2022
    Review
  13. Review
  14. Article
  15. Bioorthogonal chemistry.Nature reviews. Methods primers · 2021
    Article
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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

4 authors at 1 institution in 1 country.

Shannon E StoneDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, United States.
Weslee S GlennDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, United States.
Graham D HamblinDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, United States.
David A TirrellDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, United States. Electronic address: tirrell@caltech.edu.
California Institute of Technology · US

Funding

NEW AMINO ACIDS FOR PROTEIN ENGINEERINGR01GM062523 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI TIRRELL, DAVID A · 2001 to 2013
$3.6M
Analysis of Protein Synthesis in Bacterial PersistersR21AI121890 · NIAID · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI TIRRELL, DAVID A · 2016 to 2017
$408k
NIAID NIH HHS R21 AI121890NIGMS NIH HHS R01 GM062523
6 · The paper itself

Abstract

Cells alter the proteome to respond to environmental and developmental cues. Global analysis of proteomic responses is of limited value in heterogeneous environments, where there is no 'average' cell. Advances in sequencing, protein labeling, mass spectrometry, and data analysis have fueled recent progress in the investigation of specific subpopulations of cells in complex systems. Here we highlight recently developed chemical tools that enable cell-selective proteomic analysis of complex biological systems, from bacterial pathogens to whole animals.

Indexed as

Protein BiosynthesisAnimalsBacteriaCell LineHumansMass SpectrometryProteinsProteomeProteomicsProteinsProteome

Identifiers

PMID28088696
PMCPMC5337159
OpenAlexW2578020568

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.