Evidence map›Paper›PMID 35466851›Full record

ArticleExpert review of proteomics2022

An overview of technologies for MS-based proteomics-centric multi-omics.

Andrew T Rajczewski, Pratik D Jagtap, Timothy J Griffin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Expert review of proteomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

3 authors.

Andrew T RajczewskiDepartment of Biochemistry, Molecular and Cell Biology Building, University of Minnesota, Minneapolis, MN, USA.
Pratik D JagtapDepartment of Biochemistry, Molecular and Cell Biology Building, University of Minnesota, Minneapolis, MN, USA.
Timothy J GriffinDepartment of Biochemistry, Molecular and Cell Biology Building, University of Minnesota, Minneapolis, MN, USA.

Funding

TRAINING FOR FUTURE BIOTECHNOLOGY DEVELOPMENTT32GM008347 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SCHMIDT-DANNERT, CLAUDIA · 1990 to 2021
$11.0M
Expanding multiplexed kinase biosensor analysis to SWATH-MS (Part 2 of 2)U24CA199347 · NCI · UNIVERSITY OF MINNESOTA · PI GRIFFIN, TIMOTHY J. · 2016 to 2019
$2.4M
NCI NIH HHS U24 CA199347NIGMS NIH HHS T32 GM008347
6 · The paper itself

Abstract

introductionMass spectrometry-based proteomics reveals dynamic molecular signatures underlying phenotypes reflecting normal and perturbed conditions in living systems. Although valuable on its own, the proteome has only one level of moleclar information, with the genome, epigenome, transcriptome, and metabolome, all providing complementary information. Multi-omic analysis integrating information from one or more of these other domains with proteomic information provides a more complete picture of molecular contributors to dynamic biological systems. AREAS COVERED: Here, we discuss the improvements to mass spectrometry-based technologies, focused on peptide-based, bottom-up approaches that have enabled deep, quantitative characterization of complex proteomes. These advances are facilitating the integration of proteomics data with other 'omic information, providing a more complete picture of living systems. We also describe the current state of bioinformatics software and approaches for integrating proteomics and other 'omics data, critical for enabling new discoveries driven by multi-omics. EXPERT COMMENTARY: Multi-omics, centered on the integration of proteomics information with other 'omic information, has tremendous promise for biological and biomedical studies. Continued advances in approaches for generating deep, reliable proteomic data and bioinformatics tools aimed at integrating data across 'omic domains will ensure the discoveries offered by these multi-omic studies continue to increase.

Indexed as

ProteomeProteomicsComputational BiologyMass SpectrometrySoftwareProteomebioinformaticsbottom-up proteomicsMass spectrometrymulti-omicsproteogenomics

Identifiers

PMID35466851
PMCPMC9613604

What OpenQuestion holds

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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.