Evidence map›Paper›PMID 30899020›Full record

ArticleNature communications2019

Mitochondrial origins of fractional control in regulated cell death.

Luís C Santos, Robert Vogel, Jerry E Chipuk, Marc R Birtwistle, Gustavo Stolovitzky, Pablo Meyer

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 51 citations in OpenAlex.

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  15. Targeting apoptosis in cancer therapy.Nature reviews. Clinical oncology · 2020
    Review
  16. Article
  17. Caspase-8 Induces Lysosome-Associated Cell Death in Cancer Cells.Molecular therapy : the journal of the American Society of Gene Therapy · 2020
    Article
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Luís C SantosDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Robert VogelIBM T.J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY, 10598, USA.
Jerry E ChipukDepartment of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Marc R BirtwistleSystems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. mbirtwi@clemson.edu.ORCID http://orcid.org/0000-0002-0341-0705
Gustavo StolovitzkyIBM T.J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY, 10598, USA. gustavo@us.ibm.com.ORCID http://orcid.org/0000-0002-9618-2819
Pablo MeyerIBM T.J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY, 10598, USA. pmeyerr@us.ibm.com.ORCID http://orcid.org/0000-0001-5281-4661
IBM (United States) · USIcahn School of Medicine at Mount Sinai · USClemson University · US

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
System Biology Center in New YorkP50GM071558 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ZAPH, SUSANA NEVES · 2007 to 2017
$22.8M
Drug Combination Signatures for Prediction and Mitigation of ToxicityU54HG008098 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BIRTWISTLE, MARC R., SOBIE, ERIC A · 2014 to 2019
$11.8M
Predicting the Heterogeneity of Cell-Fate DecisionsR01GM104184 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BIRTWISTLE, MARC R. · 2014 to 2018
$1.8M
(PQ5) Role of Mitochondrial Division in Cancer BiologyR01CA206005 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHIPUK, JERRY EDWARD · 2016 to 2020
$1.7M
NCI NIH HHS P30 CA196521NCI NIH HHS R01 CA206005NHGRI NIH HHS U54 HG008098NIGMS NIH HHS P50 GM071558NIGMS NIH HHS R01 GM104184NIH HHS P30 CA196521NIH HHS P50GM071558NIH HHS R01 CA206005NIH HHS R01GM104184NIH HHS U54HG008098
6 · The paper itself

Abstract

Individual cells in clonal populations often respond differently to environmental changes; for binary phenotypes, such as cell death, this can be measured as a fractional response. These types of responses have been attributed to cell-intrinsic stochastic processes and variable abundances of biochemical constituents, such as proteins, but the influence of organelles is still under investigation. We use the response to TNF-related apoptosis inducing ligand (TRAIL) and a new statistical framework for determining parameter influence on cell-to-cell variability through the inference of variance explained, DEPICTIVE, to demonstrate that variable mitochondria abundance correlates with cell survival and determines the fractional cell death response. By quantitative data analysis and modeling we attribute this effect to variable effective concentrations at the mitochondria surface of the pro-apoptotic proteins Bax/Bak. Further, our study suggests that inhibitors of anti-apoptotic Bcl-2 family proteins, used in cancer treatment, may increase the diversity of cellular responses, enhancing resistance to treatment.

Indexed as

Gene Expression Regulation, NeoplasticAnnexin A5Apoptosisbcl-2-Associated X Proteinbcl-2 Homologous Antagonist-Killer ProteinBiomarkersCell Line, TumorCell SurvivalEpithelial CellsFluorescent DyesGenetic VariationHeLa CellsHumansJurkat CellsMitochondriaModels, GeneticAnnexin A5BAK1 protein, humanBAX protein, humanbcl-2-Associated X Proteinbcl-2 Homologous Antagonist-Killer ProteinBiomarkersFluorescent DyesMitoTracker Red 580Organic ChemicalsTNF-Related Apoptosis-Inducing LigandTNFSF10 protein, human

Identifiers

PMID30899020
PMCPMC6428895
OpenAlexW2923540257

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.