Evidence map›Paper›PMID 30272558›Full record

ArticleeLife2018

New insights into the cellular temporal response to proteostatic stress.

Justin Rendleman, Zhe Cheng, Shuvadeep Maity, Nicolai Kastelic, Mathias Munschauer, Kristina Allgoewer, Guoshou Teo, Yun Bin Matteo Zhang, Amy Lei, Brian Parker and 5 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 62 citations in OpenAlex.

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  9. Redox regulation of UPR signalling and mitochondrial ER contact sites.Cellular and molecular life sciences : CMLS · 2024
    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

15 authors at 4 institutions in 3 countries.

Justin Rendleman *Center for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.ORCID http://orcid.org/0000-0001-8152-7127
Zhe Cheng *Center for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.
Shuvadeep Maity *Center for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.ORCID http://orcid.org/0000-0002-6031-4744
Nicolai KastelicBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Mathias MunschauerBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Kristina AllgoewerCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.
Guoshou TeoCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.
Yun Bin Matteo ZhangCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.
Amy LeiCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.
Brian ParkerCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.
Markus LandthalerBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Lindsay FreebergIllumina Inc, Madison, United States.
Scott KuerstenIllumina Inc, Madison, United States.
Hyungwon ChoiNational University of Singapore, Singapore.ORCID http://orcid.org/0000-0002-6687-3088
Christine VogelCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, United States.ORCID http://orcid.org/0000-0002-2856-3118
New York University · USMax Delbrück Center · DEIllumina (United States) · USAgency for Science, Technology and Research · SG

Funding

Next generation gene expression analysisR35GM127089 · NIGMS · NEW YORK UNIVERSITY · PI Christine Vogel · 2018 to 2026
$4.0M
Robust statistical approaches for decoding protein and mRNA expression regulationR01GM113237 · NIGMS · NEW YORK UNIVERSITY · PI VOGEL, CHRISTINE · 2014 to 2017
$1.5M
NIGMS NIH HHS R01 GM113237NIGMS NIH HHS R35 GM127089NIH HHS 1R01GM113237-01NIH HHS 1R35GM127089-01
6 · The paper itself

Abstract

Maintaining a healthy proteome involves all layers of gene expression regulation. By quantifying temporal changes of the transcriptome, translatome, proteome, and RNA-protein interactome in cervical cancer cells, we systematically characterize the molecular landscape in response to proteostatic challenges. We identify shared and specific responses to misfolded proteins and to oxidative stress, two conditions that are tightly linked. We reveal new aspects of the unfolded protein response, including many genes that escape global translation shutdown. A subset of these genes supports rerouting of energy production in the mitochondria. We also find that many genes change at multiple levels, in either the same or opposing directions, and at different time points. We highlight a variety of putative regulatory pathways, including the stress-dependent alternative splicing of aminoacyl-tRNA synthetases, and protein-RNA binding within the 3' untranslated region of molecular chaperones. These results illustrate the potential of this information-rich resource.

Indexed as

ProteostasisStress, PhysiologicalAmino Acyl-tRNA SynthetasesDNA RepaireIF-2 KinaseEndoplasmic ReticulumEndoplasmic Reticulum StressEukaryotic Initiation Factor-2Gene Expression RegulationGenes, EssentialHeLa CellsHumansMembrane ProteinsNucleic Acid ConformationOpen Reading FramesPrincipal Component AnalysisAmino Acyl-tRNA SynthetaseseIF-2 KinaseEukaryotic Initiation Factor-2Membrane ProteinsTunicamycincentral dogmacomputational biologyenergy metabolismgeneticsgenomicshumanproteostasisstress responsesystems biologytranslation regulationunfolded protein response

Identifiers

PMID30272558
PMCPMC6185107
OpenAlexW2892476450

What OpenQuestion 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 OpenQuestion graph.