Evidence map›Paper›PMID 26090763›Full record

ArticlePlastic and reconstructive surgery2015

RNA Sequencing for Identification of Differentially Expressed Noncoding Transcripts during Adipogenic Differentiation of Adipose-Derived Stromal Cells.

Anna Luan, Kevin J Paik, Jiang Li, Elizabeth R Zielins, David A Atashroo, Andrew Spencley, Arash Momeni, Michael T Longaker, Kevin C Wang, Derrick C Wan

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. RNA Therapies in Cardio-Kidney-Metabolic Syndrome: Advancing Disease Management.Journal of cardiovascular translational research · 2025
    Review
  2. Article
  3. Article
  4. Non-Coding RNAs and Adipogenesis.International journal of molecular sciences · 2023
    Review
  5. Review
  6. [Knockdown of long non-coding RNABeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

10 authors at 1 institution in 1 country.

Anna LuanStanford and Santa Clara, Calif. From the Hagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Division of Plastic and Reconstructive Surgery, and the Program in Epithelial Biology, Stanford University School of Medicine; and Affymetrix, Inc.
Kevin J Paik
Jiang Li
Elizabeth R Zielins
David A Atashroo
Andrew Spencley
Arash Momeni
Michael T Longaker
Kevin C Wang
Derrick C Wan
Stanford University · US

Funding

Induced pluripotent stem cells in the understanding and treatment of heart diseaseU01HL099776 · NHLBI · STANFORD UNIVERSITY · PI LONGAKER, MICHAEL T, WU, JOSEPH C. · 2009 to 2015
$8.2M
Osteogenic Enrichment of Adipose Derived Stromal CellsR01DE021683 · NIDCR · STANFORD UNIVERSITY · PI GURTNER, GEOFFREY C, LONGAKER, MICHAEL T · 2012 to 2016
$2.0M
Defining BMP-responsive lncRNA for bone regenerationK08DE024269 · NIDCR · STANFORD UNIVERSITY · PI WAN, DERRICK · 2014 to 2018
$632k
Enhancing Bcl-2 Expression for Bone Regeneration.R21DE024230 · NIDCR · STANFORD UNIVERSITY · PI LONGAKER, MICHAEL T · 2014 to 2015
$443k
NHLBI NIH HHS U01 HL099776NHLBI NIH HHS U01HL099776NIDCR NIH HHS 1K08 DE024269-01NIDCR NIH HHS K08 DE024269NIDCR NIH HHS R01 DE021683NIDCR NIH HHS R01 DE021683-03NIDCR NIH HHS R21 DE024230NIDCR NIH HHS R21 DE024230-02
6 · The paper itself

Abstract

backgroundAdipose-derived stromal cells represent a relatively abundant source of multipotent cells, with many potential applications in regenerative medicine. The present study sought to demonstrate the use of RNA sequencing in identifying differentially expressed transcripts, particularly long noncoding RNAs, associated with adipogenic differentiation to gain a clearer picture of the mechanisms responsible for directing adipose-derived stromal cell fate toward the adipogenic lineage.

methodsHuman adipose-derived stromal cells were cultured in adipogenic differentiation media, and RNA was harvested at days 0, 1, 3, 5, and 7. Directional RNA sequencing libraries were prepared and sequenced. Paired-end reads were mapped to the human genome reference sequence hg19. Transcriptome assembly was performed and significantly differentially expressed transcripts were identified. Gene ontology term analysis was then performed to identify coding and noncoding transcripts of interest. Differential expression was verified by quantitative real-time polymerase chain reaction.

resultsOf 2868 significantly differentially expressed transcripts identified, 207 were noncoding. Enriched gene ontology terms among up-regulated coding transcripts notably reflected differentiation toward the adipogenic lineage. Enriched gene ontology terms among down-regulated coding transcripts reflected growth arrest. Guilt-by-association analysis revealed noncoding RNA candidates with potential roles in the process of adipogenic differentiation.

conclusionsThe precise mechanisms that guide lineage-specific differentiation in multipotent cells are not yet fully understood. Defining long noncoding RNAs associated with adipogenic differentiation allows for potential manipulation of regulatory pathways in novel ways. The authors present RNA sequencing as a powerful tool for expanding the understanding of adipose-derived stromal cells and developing novel applications within regenerative medicine.

Indexed as

Gene Expression ProfilingRNA, Long NoncodingSequence Analysis, RNATranscriptomeAdipocytesAdipogenesisAdultFemaleHumansMiddle AgedReal-Time Polymerase Chain ReactionStromal CellsRNA, Long Noncoding

Identifiers

PMID26090763
PMCPMC4581908
OpenAlexW2315509909

What OpenQuestion holds

Textmetadata
LicenceTDM
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.