Evidence map›Paper›PMID 21203485›Full record

ArticlePLoS pathogens2010

Structural basis for apoptosis inhibition by Epstein-Barr virus BHRF1.

Marc Kvansakul, Andrew H Wei, Jamie I Fletcher, Simon N Willis, Lin Chen, Andrew W Roberts, David C S Huang, Peter M Colman

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

79 citing papers in PubMed, 112 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Marc KvansakulThe Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Andrew H Wei
Jamie I Fletcher
Simon N Willis
Lin Chen
Andrew W Roberts
David C S Huang
Peter M Colman
University of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

ONCOGENE-INDUCED LEUKEMOGENESIS IN TRANSGENIC MICER01CA043540 · NCI · WALTER AND ELIZA HALL INST MEDICAL RES · PI CORY, SUZANNE · 1987 to 2009
$1.7M
MECHANISMS IN THE REGULATION OF APOPTOSISR01CA080188 · NCI · WALTER AND ELIZA HALL INST MEDICAL RES · PI ADAMS, JERRY M · 1999 to 2006
$1.1M
NCI NIH HHS CA43540NCI NIH HHS CA80188NCI NIH HHS R01 CA043540NCI NIH HHS R01 CA080188
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is associated with human malignancies, especially those affecting the B cell compartment such as Burkitt lymphoma. The virally encoded homolog of the mammalian pro-survival protein Bcl-2, BHRF1 contributes to viral infectivity and lymphomagenesis. In addition to the pro-apoptotic BH3-only protein Bim, its key target in lymphoid cells, BHRF1 also binds a selective sub-set of pro-apoptotic proteins (Bid, Puma, Bak) expressed by host cells. A consequence of BHRF1 expression is marked resistance to a range of cytotoxic agents and in particular, we show that its expression renders a mouse model of Burkitt lymphoma untreatable. As current small organic antagonists of Bcl-2 do not target BHRF1, the structures of it in complex with Bim or Bak shown here will be useful to guide efforts to target BHRF1 in EBV-associated malignancies, which are usually associated with poor clinical outcomes.

Indexed as

ApoptosisAnimalsApoptosis Regulatory ProteinsBurkitt LymphomaDrug ResistanceHerpesvirus 4, HumanHost-Pathogen InteractionsMiceProtein BindingViral ProteinsApoptosis Regulatory ProteinsBHRF1 protein, Human herpesvirus 4Viral Proteins

Identifiers

PMID21203485
PMCPMC3009601
OpenAlexW2051500499

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.