Quantitative Single-Cell Gene Expression Measurements in Bacteria Using Time-Lapse Microscopy

Mary J. Dunlop

doi:10.1017/s1431927614007600

Quantitative Single-Cell Gene Expression Measurements in Bacteria Using Time-Lapse Microscopy

Microscopy and Microanalysis ◽

10.1017/s1431927614007600 ◽

2014 ◽

Vol 20 (S3) ◽

pp. 1174-1175 ◽

Cited By ~ 1

Author(s):

Mary J. Dunlop

Keyword(s):

Gene Expression ◽

Single Cell ◽

Time Lapse ◽

Time Lapse Microscopy ◽

Cell Gene Expression ◽

Cell Gene

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Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy

Nature Protocols ◽

10.1038/nprot.2011.432 ◽

2011 ◽

Vol 7 (1) ◽

pp. 80-88 ◽

Cited By ~ 211

Author(s):

Jonathan W Young ◽

James C W Locke ◽

Alphan Altinok ◽

Nitzan Rosenfeld ◽

Tigran Bacarian ◽

...

Keyword(s):

Gene Expression ◽

Single Cell ◽

Time Lapse ◽

Time Lapse Microscopy ◽

Cell Gene Expression ◽

Gene Expression Dynamics ◽

Cell Gene

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Single cell gene expression analysis of circulating tumor cells in ovarian cancer reveals CTCs co-expressing stem cell and mesenchymal markers

Geburtshilfe und Frauenheilkunde ◽

10.1055/s-0036-1592665 ◽

2016 ◽

Vol 76 (10) ◽

Cited By ~ 1

Author(s):

C Blassl ◽

JD Kuhlmann ◽

A Webers ◽

P Wimberger ◽

T Fehm ◽

...

Keyword(s):

Gene Expression ◽

Ovarian Cancer ◽

Stem Cell ◽

Single Cell ◽

Tumor Cells ◽

Circulating Tumor Cells ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Cell Gene Expression ◽

Cell Gene

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Faculty Opinions recommendation of Molecular heterogeneity of developing retinal ganglion and amacrine cells revealed through single cell gene expression profiling.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1082928.535886 ◽

2007 ◽

Author(s):

Alain Ghysen

Keyword(s):

Gene Expression ◽

Single Cell ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Amacrine Cells ◽

Molecular Heterogeneity ◽

Retinal Ganglion ◽

Cell Gene Expression ◽

Cell Gene

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Faculty Opinions recommendation of Single-cell gene expression of the bovine blastocyst.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.728770917.793543100 ◽

2018 ◽

Author(s):

Anthony Michael Carter

Keyword(s):

Gene Expression ◽

Single Cell ◽

Cell Gene Expression ◽

Cell Gene ◽

Bovine Blastocyst

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Faculty Opinions recommendation of Single-cell gene expression reveals a landscape of regulatory T cell phenotypes shaped by the TCR.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.732647286.793544281 ◽

2018 ◽

Author(s):

Matthias von Herrath ◽

Gustaf Christoffersson

Keyword(s):

Gene Expression ◽

T Cell ◽

Single Cell ◽

Regulatory T Cell ◽

Cell Gene Expression ◽

T Cell Phenotypes ◽

Cell Phenotypes ◽

Cell Gene

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How to build regulatory networks from single-cell gene expression data

Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics ◽

10.1145/3388440.3414213 ◽

2020 ◽

Author(s):

Aditya Pratapa ◽

Amogh P. Jalihal ◽

Jeffrey N. Law ◽

Aditya Bharadwaj ◽

T. M. Murali

Keyword(s):

Gene Expression ◽

Single Cell ◽

Gene Expression Data ◽

Regulatory Networks ◽

Expression Data ◽

Cell Gene Expression ◽

Cell Gene

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GiniClust: detecting rare cell types from single-cell gene expression data with Gini index

Genome Biology ◽

10.1186/s13059-016-1010-4 ◽

2016 ◽

Vol 17 (1) ◽

Cited By ~ 126

Author(s):

Lan Jiang ◽

Huidong Chen ◽

Luca Pinello ◽

Guo-Cheng Yuan

Keyword(s):

Gene Expression ◽

Single Cell ◽

Gene Expression Data ◽

Gini Index ◽

Cell Types ◽

Expression Data ◽

Cell Gene Expression ◽

Cell Gene

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Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst

Developmental Cell ◽

10.1016/j.devcel.2010.02.012 ◽

2010 ◽

Vol 18 (4) ◽

pp. 675-685 ◽

Cited By ~ 568

Author(s):

Guoji Guo ◽

Mikael Huss ◽

Guo Qing Tong ◽

Chaoyang Wang ◽

Li Li Sun ◽

...

Keyword(s):

Gene Expression ◽

Single Cell ◽

Cell Fate ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Cell Fate Decisions ◽

Cell Gene Expression ◽

Cell Gene

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Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data

PLoS Computational Biology ◽

10.1371/journal.pcbi.1005072 ◽

2016 ◽

Vol 12 (8) ◽

pp. e1005072 ◽

Cited By ~ 13

Author(s):

Daphne Ezer ◽

Victoria Moignard ◽

Berthold Göttgens ◽

Boris Adryan

Keyword(s):

Gene Expression ◽

Single Cell ◽

Gene Expression Data ◽

Gene Expression Regulation ◽

Expression Regulation ◽

Expression Data ◽

Physical Mechanisms ◽

Cell Gene Expression ◽

Cell Gene

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Comparison of reverse transcription–quantitative polymerase chain reaction methods and platforms for single cell gene expression analysis

Analytical Biochemistry ◽

10.1016/j.ab.2012.05.010 ◽

2012 ◽

Vol 427 (2) ◽

pp. 178-186 ◽

Cited By ~ 14

Author(s):

Bridget C. Fox ◽

Alison S. Devonshire ◽

Marc-Olivier Baradez ◽

Damian Marshall ◽

Carole A. Foy

Keyword(s):

Gene Expression ◽

Polymerase Chain Reaction ◽

Single Cell ◽

Reverse Transcription ◽

Gene Expression Analysis ◽

Quantitative Polymerase Chain Reaction ◽

Chain Reaction ◽

Cell Gene Expression ◽

Polymerase Chain ◽

Cell Gene

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