Evidence map›Paper›PMID 34361849›Full record

ReviewMolecules (Basel, Switzerland)2021

N-Terminomics Strategies for Protease Substrates Profiling.

Mubashir Mintoo, Amritangshu Chakravarty, Ronak Tilvawala

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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  8. Review
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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 at 1 institution in 1 country.

Mubashir MintooDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS 66045, USA.ORCID 0000-0002-5821-1172
Amritangshu ChakravartyDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS 66045, USA.
Ronak TilvawalaDepartment of Molecular Biosciences, University of Kansas, Lawrence, KS 66045, USA.
University of Kansas · US

Funding

Synthetic Chemical Biology CoreP20GM113117 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI OROZCO, ROBIN C. · 2016 to 2025
$23.9M
NIGMS NIH HHS P20 GM113117NIGMS NIH HHS P20GM113117
6 · The paper itself

Abstract

Proteases play a central role in various biochemical pathways catalyzing and regulating key biological events. Proteases catalyze an irreversible post-translational modification called proteolysis by hydrolyzing peptide bonds in proteins. Given the destructive potential of proteolysis, protease activity is tightly regulated. Dysregulation of protease activity has been reported in numerous disease conditions, including cancers, neurodegenerative diseases, inflammatory conditions, cardiovascular diseases, and viral infections. The proteolytic profile of a cell, tissue, or organ is governed by protease activation, activity, and substrate specificity. Thus, identifying protease substrates and proteolytic events under physiological conditions can provide crucial information about how the change in protease regulation can alter the cellular proteolytic landscape. In recent years, mass spectrometry-based techniques called N-terminomics have become instrumental in identifying protease substrates from complex biological mixtures. N-terminomics employs the labeling and enrichment of native and neo-N-termini peptides, generated upon proteolysis followed by mass spectrometry analysis allowing protease substrate profiling directly from biological samples. In this review, we provide a brief overview of N-terminomics techniques, focusing on their strengths, weaknesses, limitations, and providing specific examples where they were successfully employed to identify protease substrates in vivo and under physiological conditions. In addition, we explore the current trends in the protease field and the potential for future developments.

Indexed as

ProteolysisProteomicsHumansMass SpectrometryPeptide HydrolasesPeptidesSubstrate SpecificityPeptide HydrolasesPeptidesCHOPSCOFRADICN-terminomicsprotease substratessubtiligaseTAILS

Identifiers

PMID34361849
PMCPMC8348681
OpenAlexW3191591153

What Socratic holds

Textmetadata
LicenceCC BY
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.