Evidence map›Paper›PMID 31648301›Full record

ReviewGigaScience2019

Key challenges facing data-driven multicellular systems biology.

Paul Macklin

Abstract readReview
In one paragraph

Review in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Phenotype control techniques for Boolean gene regulatory networks.bioRxiv : the preprint server for biology · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. SupportingPRIMUS : problems, resources, and issues in mathematics undergraduate studies · 2022
    Article
  11. Article
  12. Size scaling in collective cell growth.Development (Cambridge, England) · 2021
    Article
  13. Multiscale modeling in disease.Current opinion in systems biology · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Multi-scale models of lung fibrosis.Matrix biology : journal of the International Society for Matrix Biology · 2020
    Review
  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

1 author.

Paul MacklinDepartment of Intelligent Systems Engineering, Indiana University, 700 N Woodlawn Ave, Bloomington, IN 47408, USA.

Funding

TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HILLIS, WILLIAM DANIEL · 2009 to 2013
$15.2M
Multiscale systems biology modeling to exploit tumor-stromal metabolic crosstalk in colorectal cancerU01CA232137 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINLEY, STACEY DELERIA, MACKLIN, PAUL T · 2018 to 2022
$2.8M
(PQB6)An Integrative Computational and Bioengineered Tissue Model of MetastasisR01CA180149 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AGUS, DAVID B, ATALA, ANTHONY · 2013 to 2016
$2.3M
NCI NIH HHS R01 CA180149NCI NIH HHS U01 CA232137NCI NIH HHS U54 CA143907
6 · The paper itself

Abstract

Increasingly sophisticated experiments, coupled with large-scale computational models, have the potential to systematically test biological hypotheses to drive our understanding of multicellular systems. In this short review, we explore key challenges that must be overcome to achieve robust, repeatable data-driven multicellular systems biology. If these challenges can be solved, we can grow beyond the current state of isolated tools and datasets to a community-driven ecosystem of interoperable data, software utilities, and computational modeling platforms. Progress is within our grasp, but it will take community (and financial) commitment.

Indexed as

Big DataMetadataSystems Biologybig datachallengesdata-drivendata standardsmachine learningmulticellular systems biologymultidisciplinaryopen dataopen sourcesimulations

Identifiers

PMID31648301
PMCPMC6812467

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.