Evidence map›Paper›PMID 30683983›Full record

ArticleCellular and molecular life sciences : CMLS2019

Cellular responses to proteostasis perturbations reveal non-optimal feedback in chaperone networks.

Asmita Ghosh, Abhilash Gangadharan, Monika Verma, Sarada Das, Latika Matai, Devi Prasanna Dash, Debasis Dash, Koyeli Mapa, Kausik Chakraborty

Abstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

9 authors.

Asmita GhoshCSIR-Institute of Genomics and Integrative Biology, Delhi, 110025, India.
Abhilash GangadharanCSIR-Institute of Genomics and Integrative Biology, Delhi, 110025, India.
Monika VermaCSIR-Institute of Genomics and Integrative Biology, Delhi, 110025, India.
Sarada DasDepartment of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, 201314, India.
Latika MataiCSIR-Institute of Genomics and Integrative Biology, Delhi, 110025, India.
Devi Prasanna DashCSIR-Institute of Genomics and Integrative Biology, Delhi, 110025, India.
Debasis DashCSIR-Institute of Genomics and Integrative Biology, Delhi, 110025, India.
Koyeli MapaDepartment of Life Sciences, School of Natural Sciences, Shiv Nadar University, Greater Noida, 201314, India.
Kausik ChakrabortyCSIR-Institute of Genomics and Integrative Biology, Delhi, 110025, India. kausik@igib.in.

Funding

Council of Scientific and Industrial Research fellowshipCouncil of Scientific and Industrial Research OLP1104Shiv Nadar University fellowshipUniversity Grants Commission fellowship
6 · The paper itself

Abstract

The proteostasis network (PN) comprises a plethora of proteins that are dedicated to aid in protein folding and maintenance; some with overlapping functions. Despite this, there are multiple pathophysiological states associated with depletion of chaperones. This is counter-intuitive, assuming cells have the ability to re-program transcriptional outputs in accordance with its proteostasic limitations. Here, we have used S. cerevisiae to understand how cells respond to different types of proteostasis impairments. We monitored the proteostasis status and transcriptome of single deletions of fourteen different Protein Quality Control (PQC) genes. In most cases, cellular response did not activate proteostasis components or pathways that could either complement the function of the missing PQC gene or restore proteostasis. Over-expression of alternate machineries could restore part of the proteostasis defect in two representative PQC gene deletion strains. We posit that S. cerevisiae inherently lacks the ability to sense and respond optimally to defects in proteostasis caused due to deletion of specific PQC components.

Indexed as

ProteostasisCytosolEpistasis, GeneticGene DeletionHSP40 Heat-Shock ProteinsHSP70 Heat-Shock ProteinsMitochondriaMitochondrial ProteinsMolecular ChaperonesRNA, FungalSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptomeHSP40 Heat-Shock ProteinsHSP70 Heat-Shock ProteinsJjj1 protein, S cerevisiaeMitochondrial ProteinsMolecular ChaperonesRNA, FungalSaccharomyces cerevisiae ProteinsSSE1 protein, S cerevisiaeChaperonesEpistasisProteostasisS. cerevisiaeTranscriptomics

Identifiers

PMID30683983
PMCPMC11105298

What OpenQuestion holds

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Registered trials

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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.