Evidence map›Paper›PMID 34972993›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Studying Autophagy Using a TMT-Based Quantitative Proteomics Approach.

Kiran Bala Sharma, Suruchi Aggarwal, Amit Kumar Yadav, Sudhanshu Vrati, Manjula Kalia

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 3% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Endothelial knockdown of the tumor suppressor,American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  3. Review
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

5 authors at 2 institutions in 1 country.

Kiran Bala SharmaRegional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Suruchi AggarwalTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Amit Kumar YadavTranslational Health Science & Technology Institute, NCR Biotech Science Cluster, Faridabad, Haryana, India.
Sudhanshu VratiRegional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, India. vrati@rcb.res.in.
Manjula KaliaRegional Centre for Biotechnology, NCR Biotech Science Cluster, Faridabad, Haryana, India. manjula@rcb.res.in.
Regional Centre for Biotechnology · INTranslational Health Science and Technology Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maintenance of cellular homeostasis through regulated degradation of proteins and organelles is a defining feature of autophagy. This process itself is tightly regulated in a series of well-defined biochemical reactions governed largely by the highly conserved ATG protein family. Given its crucial role in regulating protein levels under both basal and stress conditions such as starvation and infection, genetic or pharmacological perturbation of autophagy results in massive changes in the cellular proteome and impacts nearly every biological process. Therefore, studying autophagy perturbations at a global scale assumes prime importance. In recent years, quantitative mass spectrometry (MS)-based proteomics has emerged as a powerful approach to explore biological processes through global proteome quantification analysis. Tandem mass tag (TMT)-based MS proteomics is one such robust quantitative technique that can examine relative protein abundances in multiple samples (parallel multiplexing). Investigating autophagy through TMT-based MS approach can give great insights into autophagy-regulated biological processes, protein-protein interaction networks, spatiotemporal protein dynamics, and identification of new autophagy substrates. This chapter provides a detailed protocol for studying the impact of a dysfunctional autophagy pathway on the cellular proteome and pathways in a healthy vs. disease (virus infection) condition using a 16-plex TMT-based quantitative proteomics approach. We also provide a pipeline on data processing and analysis using available web-based tools.

Indexed as

ProteomicsTandem Mass SpectrometryAutophagyProteomeResearch DesignProteomeATG5AutophagyMass spectrometryQuantitative proteomicsTMT

Identifiers

PMID34972993
OpenAlexW4206607505

What OpenQuestion holds

Textmetadata
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.