Literature DB >> 21902535

Single-cell gene-expression profiling and its potential diagnostic applications.

Anders Ståhlberg1, Mikael Kubista, Pierre Aman.   

Abstract

Gene-expression profiling has been successfully applied in various diagnostic applications, but its full capacity is yet to be realized. Samples are generally prepared from a mixture of different cells that are present in unknown proportions. Cells are, in many aspects, unique in their characteristics and this heterogeneity confounds the expression profile. The development of new and robust techniques to measure gene expression in single cells opens new avenues in molecular medicine. Today, gene-expression profiles of individual cells can be measured with high precision and accuracy, identifying different cell types as well as revealing heterogeneity among cells of the same kind. Here, we review practical aspects of single-cell gene-expression profiling using reverse transcription quantitative real-time PCR and its potential use in diagnostics.

Mesh:

Year:  2011        PMID: 21902535     DOI: 10.1586/erm.11.60

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  21 in total

1.  Microfluidic single-cell real-time PCR for comparative analysis of gene expression patterns.

Authors:  Veronica Sanchez-Freire; Antje D Ebert; Tomer Kalisky; Stephen R Quake; Joseph C Wu
Journal:  Nat Protoc       Date:  2012-04-05       Impact factor: 13.491

Review 2.  Single-cell RNA sequencing to explore immune cell heterogeneity.

Authors:  Efthymia Papalexi; Rahul Satija
Journal:  Nat Rev Immunol       Date:  2017-08-07       Impact factor: 53.106

3.  Single-copy quantification of HIV-1 in clinical samples.

Authors:  Ann Wiegand; Frank Maldarelli
Journal:  Methods Mol Biol       Date:  2014

4.  Application of unique sequence index (USI) barcode to gene expression profiling in gastric adenocarcinoma.

Authors:  Sadegh Fattahi; Maryam Pilehchian Langroudi; Ali Akbar Samadani; Novin Nikbakhsh; Mohsen Asouri; Haleh Akhavan-Niaki
Journal:  J Cell Commun Signal       Date:  2017-01-24       Impact factor: 5.782

5.  Single-neuron RNA-Seq: technical feasibility and reproducibility.

Authors:  Shenfeng Qiu; Shujun Luo; Oleg Evgrafov; Robin Li; Gary P Schroth; Pat Levitt; James A Knowles; Kai Wang
Journal:  Front Genet       Date:  2012-07-06       Impact factor: 4.599

6.  Analyzing gene expression from whole tissue vs. different cell types reveals the central role of neurons in predicting severity of Alzheimer's disease.

Authors:  Shiri Stempler; Eytan Ruppin
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

7.  Properties of targeted preamplification in DNA and cDNA quantification.

Authors:  Daniel Andersson; Nina Akrap; David Svec; Tony E Godfrey; Mikael Kubista; Göran Landberg; Anders Ståhlberg
Journal:  Expert Rev Mol Diagn       Date:  2015-07-01       Impact factor: 5.225

8.  "Mix of Mics"- Phenotypic and Biological Heterogeneity of "Multipotent" Muscle Interstitial Cells (MICs).

Authors:  Barbora Malecova; Pier Lorenzo Puri
Journal:  J Stem Cell Res Ther       Date:  2012-10-17

9.  Circulating brain microvascular endothelial cells (cBMECs) as potential biomarkers of the blood-brain barrier disorders caused by microbial and non-microbial factors.

Authors:  Sheng-He Huang; Lin Wang; Feng Chi; Chun-Hua Wu; Hong Cao; Aimin Zhang; Ambrose Jong
Journal:  PLoS One       Date:  2013-04-26       Impact factor: 3.240

10.  Epithelial mesenchymal transition: a new insight into the detection of circulating tumor cells.

Authors:  Guislaine Barrière; Michel Tartary; Michel Rigaud
Journal:  ISRN Oncol       Date:  2012-04-11
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