Evidence map›Paper›PMID 24565063›Full record

ReviewStem cell research & therapy2013

HeLiVa platform: integrated heart-liver-vascular systems for drug testing in human health and disease.

Gordana Vunjak-Novakovic, Sangeeta Bhatia, Christopher Chen, Karen Hirschi

Abstract readReview
In one paragraph

Review in Stem cell research & therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Microphysiological systems: What it takes for community adoption.Experimental biology and medicine (Maywood, N.J.) · 2021
    Review
  9. Organs-on-chips: into the next decade.Nature reviews. Drug discovery · 2021
    Review
  10. Review
  11. Review
  12. Review
  13. Oncoimmunology Meets Organs-on-Chip.Frontiers in molecular biosciences · 2021
    Review
  14. Human Cell Modeling for Cardiovascular Diseases.International journal of molecular sciences · 2020
    Review
  15. Article
  16. Review
  17. Article
  18. Liver regeneration and alcoholic liver disease.Annals of translational medicine · 2020
    Review
  19. Review
  20. Review
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.

Gordana Vunjak-Novakovic
Sangeeta Bhatia
Christopher Chen
Karen Hirschi

Funding

Tissue Chips for Rare Disease: Adding Timothy Syndrome to the HeLIVaSkCa platformUH3EB017103 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI VUNJAK-NOVAKOVIC, GORDANA · 2014 to 2016
$7.1M
Integrated heart-liver-vascular systems for drug testing in human health and diseUH2EB017103 · NIBIB · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI VUNJAK-NOVAKOVIC, GORDANA · 2012 to 2013
$1.7M
NIBIB NIH HHS UH2 EB017103NIBIB NIH HHS UH3 EB017103
6 · The paper itself

Abstract

Our project team is developing an integrated microphysiological platform with functionally connected vascular, liver and cardiac microtissues derived from a single line of human pluripotent stem cells. The platform enables functional representation of human physiology in conjunction with real-time biological readouts (via imaging and homologous reporters for all three cell phenotypes) and compatibility with high-throughput/high-content analysis. In this paper, we summarize progress made over the first year of the grant.

Indexed as

Antiviral AgentsCell DifferentiationElectric StimulationEndothelial CellsHepatitis CHepatocytesHumansInduced Pluripotent Stem CellsMicrofluidic Analytical TechniquesMyocytes, CardiacAntiviral Agents

Identifiers

PMID24565063
PMCPMC4029174

What OpenQuestion holds

Textmetadata
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.