Evidence map›Paper›PMID 27113384›Full record

ReviewJournal of cellular and molecular medicine2016

Potentials of single-cell biology in identification and validation of disease biomarkers.

Furong Niu, Diane C Wang, Jiapei Lu, Wei Wu, Xiangdong Wang

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Aqueous Processed Biopolymer Interfaces for Single-Cell Microarrays.ACS biomaterials science & engineering · 2020
    Article
  10. Article
  11. Article
  12. Review
  13. 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

5 authors.

Furong NiuHuzhou Central Hospital, Huzhou, Zhejiang Province, China.
Diane C WangDepartment of Pulmonary Medicine, The First affiliated Hospital, Wenzhou Medical University, Wenzhou, China.
Jiapei LuDepartment of Pulmonary Medicine, The First affiliated Hospital, Wenzhou Medical University, Wenzhou, China.
Wei WuHuzhou Central Hospital, Huzhou, Zhejiang Province, China.
Xiangdong WangHuzhou Central Hospital, Huzhou, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell biology is considered a new approach to identify and validate disease-specific biomarkers. However, the concern raised by clinicians is how to apply single-cell measurements for clinical practice, translate the message of single-cell systems biology into clinical phenotype or explain alterations of single-cell gene sequencing and function in patient response to therapies. This study is to address the importance and necessity of single-cell gene sequencing in the identification and development of disease-specific biomarkers, the definition and significance of single-cell biology and single-cell systems biology in the understanding of single-cell full picture, the development and establishment of whole-cell models in the validation of targeted biological function and the figure and meaning of single-molecule imaging in single cell to trace intra-single-cell molecule expression, signal, interaction and location. We headline the important role of single-cell biology in the discovery and development of disease-specific biomarkers with a special emphasis on understanding single-cell biological functions, e.g. mechanical phenotypes, single-cell biology, heterogeneity and organization of genome function. We have reason to believe that such multi-dimensional, multi-layer, multi-crossing and stereoscopic single-cell biology definitely benefits the discovery and development of disease-specific biomarkers.

Indexed as

AnimalsBiomarkersDiseaseHumansReproducibility of ResultsSequence AnalysisSingle-Cell AnalysisSystems BiologyBiomarkersgene sequencinggenome functionheterogeneitymechanical phenotypessingle-cell biology

Identifiers

PMID27113384
PMCPMC4988278

What OpenQuestion holds

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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.