Evidence map›Paper›PMID 37425903›Full record

ArticlebioRxiv : the preprint server for biology2023

Configurational entropy is an intrinsic driver of tissue structural heterogeneity.

Vasudha Srivastava, Jennifer L Hu, James C Garbe, Boris Veytsman, Sundus F Shalabi, David Yllanes, Matt Thomson, Mark A LaBarge, Greg Huber, Zev J Gartner

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Vasudha SrivastavaDept. of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158, USA.
Jennifer L HuUC Berkeley-UC San Francisco Graduate Program in Bioengineering, Berkeley, CA 94720, USA.
James C GarbeDept. of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158, USA.
Boris VeytsmanChan Zuckerberg Initiative, Redwood City, CA 94963, USA.
Sundus F ShalabiBeckman Research Institute of City of Hope, Duarte, CA 91010, USA.
David YllanesChan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Matt ThomsonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Mark A LaBargeBeckman Research Institute of City of Hope, Duarte, CA 91010, USA.
Greg HuberChan Zuckerberg Biohub, San Francisco, CA 94158, USA.
Zev J GartnerDept. of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158, USA.

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kate Taylor Shumate · 1999 to 2026
$209.7M
Understanding breast cancer progression as a defect in the mechanics of tissue self-organizationU01CA244109 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARTNER, ZEV JORDAN, GOGA, ANDREI · 2020 to 2024
$3.0M
NCI NIH HHS P30 CA082103NCI NIH HHS U01 CA244109
6 · The paper itself

Abstract

Tissues comprise ordered arrangements of cells that can be surprisingly disordered in their details. How the properties of single cells and their microenvironment contribute to the balance between order and disorder at the tissue-scale remains poorly understood. Here, we address this question using the self-organization of human mammary organoids as a model. We find that organoids behave like a dynamic structural ensemble at the steady state. We apply a maximum entropy formalism to derive the ensemble distribution from three measurable parameters - the degeneracy of structural states, interfacial energy, and tissue activity (the energy associated with positional fluctuations). We link these parameters with the molecular and microenvironmental factors that control them to precisely engineer the ensemble across multiple conditions. Our analysis reveals that the entropy associated with structural degeneracy sets a theoretical limit to tissue order and provides new insight for tissue engineering, development, and our understanding of disease progression.

Indexed as

Cell fluctuationsCell sortingEntropyHeterogeneityInterfacial mechanicsMammary organoidsStatistical mechanicsTissue self-organization

Identifiers

PMID37425903
PMCPMC10327153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.