Evidence map›Paper›PMID 35875914›Full record

ArticleLab on a chip2022

Adipose microtissue-on-chip: a 3D cell culture platform for differentiation, stimulation, and proteomic analysis of human adipocytes.

Nina Compera, Scott Atwell, Johannes Wirth, Christine von Törne, Stefanie M Hauck, Matthias Meier

Open access · hybridAbstract read
In one paragraph

Article in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. New Frontiers in modeling the lipedema microenvironmentFrontiers in cell and developmental biology · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Dynamic sampling fromLab on a chip · 2024
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. 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

6 authors at 1 institution in 1 country.

Nina ComperaHelmholtz Pioneer Campus, Helmholtz Zentrum München, Munich, Germany. matthias.meier@helmholtz-muenchen.de.
Scott AtwellHelmholtz Pioneer Campus, Helmholtz Zentrum München, Munich, Germany. matthias.meier@helmholtz-muenchen.de.
Johannes WirthHelmholtz Pioneer Campus, Helmholtz Zentrum München, Munich, Germany. matthias.meier@helmholtz-muenchen.de.ORCID 0000-0002-2216-3332
Christine von TörneMetabolomics and Proteomics Core, Helmholtz Zentrum München, Munich, Germany.ORCID 0000-0002-4132-4322
Stefanie M HauckMetabolomics and Proteomics Core, Helmholtz Zentrum München, Munich, Germany.
Matthias MeierHelmholtz Pioneer Campus, Helmholtz Zentrum München, Munich, Germany. matthias.meier@helmholtz-muenchen.de.ORCID 0000-0001-9455-4538
Helmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human fat tissue has evolved to serve as a major energy reserve. An imbalance between energy intake and expenditure leads to an expansion of adipose tissue. Maintenance of this energy imbalance over long periods leads to obesity and metabolic disorders such as type 2 diabetes, for which a clinical cure is not yet available. In this study, we developed a microfluidic large-scale integration chip platform to automate the formation, long-term culture, and retrieval of 3D adipose microtissues to enable longitudinal studies of adipose tissue

Indexed as

Diabetes Mellitus, Type 2AdipocytesAdipose TissueCell Culture Techniques, Three DimensionalCell DifferentiationGlucoseHumansObesityProteomeProteomicsGlucoseProteome

Identifiers

PMID35875914
PMCPMC9400584
OpenAlexW4287225820

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.