Evidence map›Paper›PMID 31336008›Full record

ReviewJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2019

The Unmixing Problem: A Guide to Applying Single-Cell RNA Sequencing to Bone.

Matthew B Greenblatt, Noriaki Ono, Ugur M Ayturk, Shawon Debnath, Sarfaraz Lalani

Abstract readReview
In one paragraph

Review in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
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  6. Practical Compass of Single-Cell RNA-Seq Analysis.Current osteoporosis reports · 2024
    Review
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  8. Review
  9. Article
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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

5 authors.

Matthew B GreenblattDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Noriaki OnoUniversity of Michigan School of Dentistry, Ann Arbor, MI, USA.ORCID 0000-0002-3771-8230
Ugur M AyturkMusculoskeletal Integrity Program, Hospital for Special Surgery, New York, NY, USA.
Shawon DebnathDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Sarfaraz LalaniDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.

Funding

Modulation of Bone Formation by SHN3DP5OD021351 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI GREENBLATT, MATTHEW BLAKE · 2015 to 2019
$2.1M
Dynamics and Regulations of Bone Stem Cells in VivoR01DE026666 · NIDCR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ONO, NORIAKI · 2018 to 2022
$2.1M
"Establishing Pathways for Endothelial Support of Bone Formation with SLIT3"R01AR075585 · NIAMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GREENBLATT, MATTHEW BLAKE · 2020 to 2024
$1.8M
Burroughs Wellcome Fund Career Award for Medical ScientistsMarch of Dimes Foundation Basil O'Connor AwardNIAMS NIH HHS R01 AR075585NIDCR NIH HHS R01 DE026666NIH HHS DP5 OD021351NIH HHS DP5OD021351NIH HHS R01DE026666Pershing Square Sohn Prize for Young Investigators in Cancer Research Pershing Square Sohn Cancer Research Alliance
6 · The paper itself

Abstract

Bone is composed of a complex mixture of many dynamic cell types. Flow cytometry and in vivo lineage tracing have offered early progress toward deconvoluting this heterogeneous mixture of cells into functionally well-defined populations suitable for further studies. Single-cell sequencing is poised as a key complementary technique to better understand the cellular basis of bone metabolism and development. However, single-cell sequencing approaches still have important limitations, including transcriptional effects of cell isolation and sparse sampling of the transcriptome, that must be considered during experimental design and analysis to harness the power of this approach. Accounting for these limitations requires a deep knowledge of the tissue under study. Therefore, with the emergence of accessible tools for conducting and analyzing single-cell RNA sequencing (scRNA-seq) experiments, bone biologists will be ideal leaders in the application of scRNA-seq to the skeleton. Here we provide an overview of the steps involved with a single-cell sequencing analysis of bone, focusing on practical considerations needed for a successful study. © 2019 American Society for Bone and Mineral Research.

Indexed as

Sequence Analysis, RNASingle-Cell AnalysisAnimalsBone and BonesHumansMolecular Sequence AnnotationReproducibility of ResultsMESENCHYMAL STEM CELLSOSTEOBLASTSSINGLE-CELL RNA SEQUENCING

Identifiers

PMID31336008
PMCPMC6658136

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Registered trials

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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.