Evidence map›Paper›PMID 35271278›Full record

ArticleJournal of proteome research2022

Cancer Conformational Landscape Shapes Tumorigenesis.

Casimir Bamberger, Jolene Diedrich, Salvador Martìnez-Bartholomé, John R Yates

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Factors affecting protein recovery during Hsp40 affinity profiling.Analytical and bioanalytical chemistry · 2024
    Article
  5. Review
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Casimir BambergerDepartment of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States.ORCID 0000-0002-3830-4486
Jolene DiedrichDepartment of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States.
Salvador Martìnez-BartholoméDepartment of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States.ORCID 0000-0001-7592-5612
John R YatesDepartment of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States.ORCID 0000-0001-5267-1672
Scripps Research Institute · US

Funding

Protein conformer-resolved analysis of protein aggregates in Alzheimer's disease with mass spectrometryRF1AG061846 · NIA · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES III, JOHN R · 2018 to 2019
$3.0M
Measurement of Aberrant Protein Folds in Malignant Cells with Proteomics and Mass SpectrometryR33CA212973 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI YATES III, JOHN R · 2017 to 2019
$1.2M
NCI NIH HHS R33 CA212973NIA NIH HHS RF1 AG061846
6 · The paper itself

Abstract

During tumorigenesis, DNA mutations in protein coding sequences can alter amino acid sequences which can change the structures of proteins. While the 3D structure of mutated proteins has been studied with atomic resolution, the precise impact of somatic mutations on the 3D proteome during malignant transformation remains unknown because methods to reveal

Indexed as

NeoplasmsCarcinogenesisHumansMass SpectrometryProteomeProteostasisProteomecancer diagnosticschemical footprintingconformational diagnosticsprotein misfoldingstructural proteomics

Identifiers

PMID35271278
PMCPMC9653087
OpenAlexW4221058794

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.