Evidence map›Paper›PMID 29434216›Full record

ArticleScientific reports2018

A large-scale RNA interference screen identifies genes that regulate autophagy at different stages.

Sujuan Guo, Kevin J Pridham, Ching-Man Virbasius, Bin He, Liqing Zhang, Hanne Varmark, Michael R Green, Zhi Sheng

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 2 countries.

Sujuan GuoVirginia Tech Carilion Research Institute, Roanoke, VA, 24016, United States.
Kevin J PridhamVirginia Tech Carilion Research Institute, Roanoke, VA, 24016, United States.
Ching-Man VirbasiusHoward Hughes Medical Institute and Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, 01605, United States.
Bin HeDepartment of Computer Science, Virginia Tech, Blacksburg, VA, 24061, United States.
Liqing ZhangDepartment of Computer Science, Virginia Tech, Blacksburg, VA, 24061, United States.
Hanne VarmarkThe Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark.
Michael R GreenHoward Hughes Medical Institute and Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, 01605, United States. Michael.green@umassmed.edu.
Zhi ShengVirginia Tech Carilion Research Institute, Roanoke, VA, 24016, United States. zhisheng@vtc.vt.edu.
Virginia Tech · USCarilion Clinic · USHoward Hughes Medical Institute · USNovo Nordisk Foundation · DKUniversity of Massachusetts Chan Medical School · US

Funding

Identification and Characterization of Genes that Suppress BCR-ABL+ LeukemiaR01CA163926 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GREEN, MICHAEL R · 2013 to 2017
$1.7M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA163926
6 · The paper itself

Abstract

Dysregulated autophagy is central to the pathogenesis and therapeutic development of cancer. However, how autophagy is regulated in cancer is not well understood and genes that modulate cancer autophagy are not fully defined. To gain more insights into autophagy regulation in cancer, we performed a large-scale RNA interference screen in K562 human chronic myeloid leukemia cells using monodansylcadaverine staining, an autophagy-detecting approach equivalent to immunoblotting of the autophagy marker LC3B or fluorescence microscopy of GFP-LC3B. By coupling monodansylcadaverine staining with fluorescence-activated cell sorting, we successfully isolated autophagic K562 cells where we identified 336 short hairpin RNAs. After candidate validation using Cyto-ID fluorescence spectrophotometry, LC3B immunoblotting, and quantitative RT-PCR, 82 genes were identified as autophagy-regulating genes. 20 genes have been reported previously and the remaining 62 candidates are novel autophagy mediators. Bioinformatic analyses revealed that most candidate genes were involved in molecular pathways regulating autophagy, rather than directly participating in the autophagy process. Further autophagy flux assays revealed that 57 autophagy-regulating genes suppressed autophagy initiation, whereas 21 candidates promoted autophagy maturation. Our RNA interference screen identifies identified genes that regulate autophagy at different stages, which helps decode autophagy regulation in cancer and offers novel avenues to develop autophagy-related therapies for cancer.

Indexed as

Apoptosis Regulatory ProteinsAutophagyCadaverineCell Line, TumorDrug Resistance, NeoplasmFlow CytometryFluorescent DyesHigh-Throughput Screening AssaysHumansK562 CellsLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMicroscopy, FluorescenceRNA InterferenceRNA, Small InterferingSpectrometry, FluorescenceApoptosis Regulatory ProteinsCadaverineFluorescent DyesmonodansylcadaverineRNA, Small Interfering

Identifiers

PMID29434216
PMCPMC5809370
OpenAlexW2787986506

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.