Evidence map›Paper›PMID 33284110›Full record

ArticleeLife2020

Gene regulation gravitates toward either addition or multiplication when combining the effects of two signals.

Eric M Sanford, Benjamin L Emert, Allison Coté, Arjun Raj

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  10. Stochastic Modeling of Biophysical Responses to Perturbation.bioRxiv : the preprint server for biology · 2024
    Article
  11. InterpretingbioRxiv : the preprint server for biology · 2024
    Article
  12. Article
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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

4 authors.

Eric M SanfordGenomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-9232-9334
Benjamin L EmertGenomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Allison CotéDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, United States.
Arjun RajDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, United States.ORCID 0000-0002-2915-6960

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007170 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BRASS, LAWRENCE F · 1985 to 2022
$54.0M
TRAINING PROGRAM IN CELL AND MOLECULAR BIOLOGYT32GM007229 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BARTOLOMEI, MARISA S. · 1985 to 2023
$14.0M
Targeted Combination Therapy for MelanomaP50CA174523 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2014 to 2018
$11.1M
Project-002RM1HG007743 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2015 to 2019
$10.1M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
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
Connecting molecular phenotype with cell fate using single-cell barcoding and RNA FISHF30CA236129 · NCI · UNIVERSITY OF PENNSYLVANIA · PI EMERT, BENJAMIN · 2019 to 2020
$59k
National Science Foundation 1350601NCI NIH HHS F30 CA236129NCI NIH HHS P30 CA016520NCI NIH HHS P50 CA174523NCI NIH HHS R01 CA232256NCI NIH HHS R01 CA238237NCI NIH HHS U01 CA227550NHGRI NIH HHS F30 HG010986NHGRI NIH HHS RM1 HG007743NHGRI NIH HHS T32 HG000046NHLBI NIH HHS U01 HL129998NIGMS NIH HHS R01 GM137425NIGMS NIH HHS T32 GM007170NIGMS NIH HHS T32 GM007229
6 · The paper itself

Abstract

Two different cell signals often affect transcription of the same gene. In such cases, it is natural to ask how the combined transcriptional response compares to the individual responses. The most commonly used mechanistic models predict additive or multiplicative combined responses, but a systematic genome-wide evaluation of these predictions is not available. Here, we analyzed the transcriptional response of human MCF-7 cells to retinoic acid and TGF-β, applied individually and in combination. The combined transcriptional responses of induced genes exhibited a range of behaviors, but clearly favored both additive and multiplicative outcomes. We performed paired chromatin accessibility measurements and found that increases in accessibility were largely additive. There was some association between super-additivity of accessibility and multiplicative or super-multiplicative combined transcriptional responses, while sub-additivity of accessibility associated with additive transcriptional responses. Our findings suggest that mechanistic models of combined transcriptional regulation must be able to reproduce a range of behaviors.

Indexed as

Gene Expression RegulationChromatinGenesHumansMCF-7 CellsSmad ProteinsTranscription, GeneticTransforming Growth Factor betaTretinoinUp-RegulationChromatinSmad ProteinsTransforming Growth Factor betaTretinoinchromatin accessibilitychromosomescombinatorial gene regulationcombined signal responsescomputational biologygene expressionhumanMCF-7systems biology

Identifiers

PMID33284110
PMCPMC7771960

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.