Evidence map›Paper›PMID 38915502›Full record

ArticlebioRxiv : the preprint server for biology2024

Combining quantitative proteomics and interactomics for a deeper insight into molecular differences between human cell lines.

Anna A Bakhtina, Helisa H Wippel, Juan D Chavez, James E Bruce

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anna A BakhtinaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID 0000-0003-4550-1135
Helisa H WippelDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Juan D ChavezDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
James E BruceDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.

Funding

Quantitation of protein interactions in cancer cellsR01GM086688 · NIGMS · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD · 2009 to 2019
$4.2M
Dynamics of the cellular interactomeR35GM136255 · NIGMS · UNIVERSITY OF WASHINGTON · PI James Edward Bruce · 2020 to 2026
$4.0M
The heart failure interactomeR01HL144778 · NHLBI · UNIVERSITY OF WASHINGTON · PI BRUCE, JAMES EDWARD · 2019 to 2022
$2.7M
NHLBI NIH HHS R01 HL144778NIGMS NIH HHS R01 GM086688NIGMS NIH HHS R35 GM136255
6 · The paper itself

Abstract

Cellular functional pathways have evolved through selection based on fitness benefits conferred through protein intra- and inter-molecular interactions that comprise all protein conformational features and protein-protein interactions, collectively referred to as the interactome. While the interactome is regulated by proteome levels, it is also regulated independently by, post translational modification, co-factor, and ligand levels, as well as local protein environmental factors, such as osmolyte concentration, pH, ionic strength, temperature and others. In modern biomedical research, cultivatable cell lines have become an indispensable tool, with selection of optimal cell lines that exhibit specific functional profiles being critical for success in many cases. While it is clear that cell lines derived from different cell types have differential proteome levels, increased understanding of large-scale functional differences requires additional information beyond abundance level measurements, including how protein conformations and interactions are altered in certain cell types to shape functional landscapes. Here, we employed quantitative

Indexed as

cellular quantitative interactomehuman cell linemass spectrometryquantitative cross-linking

Identifiers

PMID38915502
PMCPMC11195184

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.