Evidence map›Paper›PMID 25532874›Full record

ReviewCell and tissue research2015

Applications for single cell trajectory analysis in inner ear development and regeneration.

Robert Durruthy-Durruthy, Stefan Heller

Abstract readReview
In one paragraph

Review in Cell and tissue research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Stem Cells and the Bird Cochlea-Where Is Everybody?Cold Spring Harbor perspectives in medicine · 2019
    Review
  6. Article
  7. Review
  8. Review
  9. Single cell analysis of the inner ear sensory organs.The International journal of developmental biology · 2017
    Review
  10. Article
  11. Review
  12. Article
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

2 authors.

Robert Durruthy-DurruthyDepartment of Otolaryngology - HNSs, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Stefan Heller

Funding

Molecular Mechanisms of Inner Ear FunctionR01DC004563 · NIDCD · STANFORD UNIVERSITY · PI HELLER, STEFAN · 2001 to 2014
$5.1M
INNER EAR PROGENITOR CELLSR01DC006167 · NIDCD · STANFORD UNIVERSITY · PI HELLER, STEFAN · 2003 to 2013
$4.0M
Stanford OHNS Core CenterP30DC010363 · NIDCD · STANFORD UNIVERSITY · PI RICCI, ANTHONY J · 2009 to 2016
$3.0M
Patient derived sensory hair- and supporting cell-like cellsR01DC012250 · NIDCD · STANFORD UNIVERSITY · PI HELLER, STEFAN · 2012 to 2016
$2.7M
NIDCD NIH HHS P30 DC010363NIDCD NIH HHS R01 DC004563NIDCD NIH HHS R01 DC006167NIDCD NIH HHS R01 DC012250
6 · The paper itself

Abstract

Single cell trajectory analysis is a computational approach that orders cells along a pseudotime axis. This temporal modeling approach allows the characterization of transitional processes such as lineage development, response to insult, and tissue regeneration. The concept can also be applied to resolve spatial organization of cells within the originating tissue. Known as temporal and spatial transcriptomics, respectively, these methods belong to the most powerful analytical techniques for quantitative gene expression data currently available. Here, we discuss three different approaches: principal component analysis, the 'Monocle' algorithm, and self-organizing maps. We use a previously published qRT-PCR dataset of single neuroblast cells isolated from the developing mouse inner ear to highlight the basic features of the three methods and their individual limitations, as well as the distinct advantages that make them useful for research on the inner ear. The complex developmental morphogenesis of the inner ear and its specific challenges such as the paucity of cells as well as important open questions such as sensory hair cell regeneration render this organ a prime target for single cell trajectory analysis strategies.

Indexed as

CochleaEar, InnerHumansRegenerationSingle-Cell Analysis

Identifiers

PMID25532874
PMCPMC4480215

What OpenQuestion holds

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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.