Evidence map›Paper›PMID 31093870›Full record

ReviewCurrent osteoporosis reports2019

RNA-seq in Skeletal Biology.

Ugur Ayturk

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026
    Review
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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 at 1 institution in 1 country.

Ugur AyturkMusculoskeletal Integrity Program, Hospital for Special Surgery, 515 East 71st St. Suite 403, New York, NY, 10021, USA. ayturku@hss.edu.
Hospital for Special Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe goal of this paper is to review state-of-the-art transcriptome profiling methods and their recent applications in the field of skeletal biology. RECENT

findingsNext-generation sequencing of mRNA (RNA-seq) methods have been established and routinely used in skeletal biology research. RNA-seq has led to the identification of novel genes and transcription factors involved in skeletal development and disease, through its application in small and large animal models, as well as human tissue and cells. With the availability of advanced techniques such as single-cell RNA-seq, novel cell types in skeletal tissues are being identified. As the sequencing technologies are rapidly evolving, the exciting discoveries supported by transcriptomics will continue to emerge and improve our understanding of the biology of the skeleton.

Indexed as

Bone and BonesCartilageGene Expression ProfilingGrowth PlateHumansLigamentsMechanotransduction, CellularRNA, MessengerRNA-SeqSingle-Cell AnalysisTendonsWorkflowRNA, MessengerBoneCartilageLigamentRNA-seqSingle-cell RNA-seqWnt signaling

Identifiers

PMID31093870
OpenAlexW2945065002

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.