Evidence map›Paper›PMID 33585265›Full record

ArticleFrontiers in cellular and infection microbiology2020

Rapid Degradation Pathways of Host Proteins During HCMV Infection Revealed by Quantitative Proteomics.

Kai-Min Lin, Katie Nightingale, Lior Soday, Robin Antrobus, Michael P Weekes

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Kai-Min LinCambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom.
Katie NightingaleCambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom.
Lior SodayCambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom.
Robin AntrobusCambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom.
Michael P WeekesCambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GB

Funding

Wellcome TrustWellcome Trust 100140Wellcome Trust 108070/Z/15/Z
6 · The paper itself

Abstract

Human cytomegalovirus (HCMV) is an important pathogen in immunocompromised individuals and neonates, and a paradigm for viral immune evasion. We previously developed a quantitative proteomic approach that identified 133 proteins degraded during the early phase of HCMV infection, including known and novel antiviral factors. The majority were rescued from degradation by MG132, which is known to inhibit lysosomal cathepsins in addition to the proteasome. Global definition of the precise mechanisms of host protein degradation is important both to improve our understanding of viral biology, and to inform novel antiviral therapeutic strategies. We therefore developed and optimized a multiplexed comparative proteomic analysis using the selective proteasome inhibitor bortezomib in addition to MG132, to provide a global mechanistic view of protein degradation. Of proteins rescued from degradation by MG132, 34-47 proteins were also rescued by bortezomib, suggesting both that the predominant mechanism of protein degradation employed by HCMV is

Indexed as

CytomegalovirusProteomicsHumansImmune EvasionInfant, NewbornProteinsProteolysisProteinsHCMVhuman cytomegaloviruslysosomeproteasomeproteasome inhibitorsprotein degradationquantitative proteomicstandem mass tag (TMT)

Identifiers

PMID33585265
PMCPMC7873559
OpenAlexW3122290274

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.