Evidence map›Paper›PMID 24710474›Full record

ArticleCells2012

Modulation of autophagy-like processes by tumor viruses.

Hildegard I D Mack, Karl Munger

Abstract read
In one paragraph

Article in Cells, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Virus, Exosome, and MicroRNA: New Insights into Autophagy.Advances in experimental medicine and biology · 2022
    Article
  2. Review
  3. Article
  4. Article
  5. The Role of Gammaherpesviruses in Cancer Pathogenesis.Pathogens (Basel, Switzerland) · 2016
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

2 authors.

Hildegard I D MackDivision of Infectious Diseases, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA 02115, USA. hmack@rics.bwh.harvard.edu.
Karl MungerDivision of Infectious Diseases, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA 02115, USA. kmunger@rics.bwh.harvard.edu.

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
BIOLOGICAL ACTIVITY OF HPV E7 IN HUMAN EPITHELIAL CELLSR01CA066980 · NCI · TUFTS UNIVERSITY BOSTON · PI MUNGER, KARL · 1996 to 2019
$7.4M
MODULATION OF HOST CELL APOPTOTIC RESPONSES BY HPVE7R01CA081135 · NCI · TUFTS UNIVERSITY BOSTON · PI MUNGER, KARL · 2000 to 2014
$4.2M
Novel Interventions Against HPV-associated NeoplasiaU01CA141583 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI LAMBERT, PAUL F., MUNGER, KARL · 2009 to 2013
$3.8M
NCI NIH HHS R01 CA066980NCI NIH HHS R01 CA081135NCI NIH HHS U01 CA141583NHGRI NIH HHS P50 HG004233
6 · The paper itself

Abstract

Autophagy is an intracellular degradation pathway for long-lived proteins and organelles. This process is activated above basal levels upon cell intrinsic or environmental stress and dysregulation of autophagy has been linked to various human diseases, including those caused by viral infection. Many viruses have evolved strategies to directly interfere with autophagy, presumably to facilitate their replication or to escape immune detection. However, in some cases, modulation of autophagy appears to be a consequence of the virus disturbing the cell's metabolic signaling networks. Here, we summarize recent advances in research at the interface of autophagy and viral infection, paying special attention to strategies that human tumor viruses have evolved.

Identifiers

PMID24710474
PMCPMC3901111

What OpenQuestion holds

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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.