Evidence map›Paper›PMID 32325034›Full record

ArticleCell systems2020

Gene Networks with Transcriptional Bursting Recapitulate Rare Transient Coordinated High Expression States in Cancer.

Lea Schuh, Michael Saint-Antoine, Eric M Sanford, Benjamin L Emert, Abhyudai Singh, Carsten Marr, Arjun Raj, Yogesh Goyal

Abstract read
In one paragraph

Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
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  8. Fluctuation structure predicts genome-wide perturbation outcomes.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Regulation of Transcriptional Bursting and Spatial Patterning in EarlybioRxiv : the preprint server for biology · 2025
    Article
  16. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
  17. 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

8 authors.

Lea SchuhDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg 85764, Germany; Department of Mathematics, Technical University of Munich, Garching 85748, Germany.
Michael Saint-AntoineCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19716, USA.
Eric M SanfordDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Benjamin L EmertDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Abhyudai SinghElectrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA.
Carsten MarrHelmholtz Zentrum München-German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg 85764, Germany.
Arjun RajDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Yogesh GoyalDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. Electronic address: yogesh.goyal0308@gmail.com.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Targeted Combination Therapy for MelanomaP50CA174523 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2014 to 2018
$11.1M
PSOC@Penn Education and OutreachU54CA193417 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DISCHER, DENNIS E. · 2015 to 2020
$10.5M
Project-002RM1HG007743 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2015 to 2019
$10.1M
Decoding the bridges and barriers to cellular reprogramming and lineage identityR01GM137425 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI JAIN, RAJAN, RAJ, ARJUN · 2019 to 2023
$5.6M
Engineering and visualizing genome folding at high spatiotemporal resolutionU01HL129998 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BLOBEL, GERD A, PHILLIPS-CREMINS, JENNIFER ELIZABETH · 2015 to 2019
$4.2M
A plasticity and reprogramming paradigm for therapy resistance at the single cell levelU01CA227550 · NCI · UNIVERSITY OF PENNSYLVANIA · PI RADHAKRISHNAN, RAVI, RAJ, ARJUN · 2018 to 2022
$3.3M
An integrated approach to melanoma metastasis and therapy resistance: effects of age-related changes in the ECM and the biomechanics of the skinR01CA232256 · NCI · WISTAR INSTITUTE · PI CUKIERMAN, EDNA, RAJ, ARJUN · 2019 to 2023
$3.0M
Understanding and Overcoming Resistance to BRAF/MEK Kinase Inhibitors in MelanomaR01CA238237 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HERLYN, MEENHARD F, RAJ, ARJUN · 2020 to 2024
$2.9M
Consequences and Control of Randomness in Timing of Intracellular EventsR01GM124446 · NIGMS · UNIVERSITY OF DELAWARE · PI SINGH, ABHYUDAI · 2017 to 2020
$914k
Connecting molecular phenotype with cell fate using single-cell barcoding and RNA FISHF30CA236129 · NCI · UNIVERSITY OF PENNSYLVANIA · PI EMERT, BENJAMIN · 2019 to 2020
$59k
NCI NIH HHS F30 CA236129NCI NIH HHS P30 CA016520NCI NIH HHS P50 CA174523NCI NIH HHS R01 CA232256NCI NIH HHS R01 CA238237NCI NIH HHS U01 CA227550NCI NIH HHS U54 CA193417NHGRI NIH HHS RM1 HG007743NHLBI NIH HHS U01 HL129998NIGMS NIH HHS R01 GM124446NIGMS NIH HHS R01 GM137425
6 · The paper itself

Abstract

Non-genetic transcriptional variability is a potential mechanism for therapy resistance in melanoma. Specifically, rare subpopulations of cells occupy a transient pre-resistant state characterized by coordinated high expression of several genes and survive therapy. How might these rare states arise and disappear within the population? It is unclear whether the canonical models of probabilistic transcriptional pulsing can explain this behavior, or if it requires special, hitherto unidentified mechanisms. We show that a minimal model of transcriptional bursting and gene interactions can give rise to rare coordinated high expression states. These states occur more frequently in networks with low connectivity and depend on three parameters. While entry into these states is initiated by a long transcriptional burst that also triggers entry of other genes, the exit occurs through independent inactivation of individual genes. Together, we demonstrate that established principles of gene regulation are sufficient to describe this behavior and argue for its more general existence. A record of this paper's transparent peer review process is included in the Supplemental Information.

Indexed as

Drug Resistance, NeoplasmGene ExpressionGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMelanomaModels, GeneticModels, TheoreticalNeoplasmsTranscription FactorsTranscription, GeneticTranscription Factorsdrug resistancegene expressionmelanomanetworknon-geneticstochasticity

Identifiers

PMID32325034
PMCPMC7293108

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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.