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1.

Single-cell biology meeting marks rebirth of an old science

Sten Linnarsson Genome Biology 2013, 14:305 (19 April 2013)

Abstract | Full text | PDF | PubMed | Editor’s summary

A report on the third Single Cell Analyses meeting, held at the Cold Spring Harbor Laboratory, New York, USA, March 6-9, 2013

2.

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Yohei Sasagawa, Itoshi Nikaido, Tetsutaro Hayashi, Hiroki Danno, Kenichiro D Uno, Takeshi Imai, Hiroki R Ueda Genome Biology 2013, 14:R31 (17 April 2013)

Abstract | Full text | PDF | PubMed | Editor’s summary

Quartz-Seq is a method for performing single cell RNA-seq which displays high reproducibility

3.

Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data

Jong Kim, John C Marioni Genome Biology 2013, 14:R7 (28 January 2013)

Abstract | Full text | PDF | PubMed | Editor’s summary

A new framework for modeling stochastic gene expression in single cells yields insights into the regulatory role of histone modifications

4.

Acting on impulse: dissecting the dynamics of the NFAT transcriptional response

Alon Kalo, Yaron Shav-Tal Genome Biology 2013, 14:102 (24 January 2013)

Abstract | Full text | PDF | PubMed | Editor’s summary

Yaron Shav-Tal discusses isoform specifity in transcription factor dynamics, including the role of NFAT translocations out of the nucleus

5.

A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level

Stephan Binder, Georg Schendzielorz, Norma Stäbler, Karin Krumbach, Kristina Hoffmann, Michael Bott, Lothar Eggeling Genome Biology 2012, 13:R40 (28 May 2012)

Abstract | Full text | PDF | PubMed | Editor’s summary

A novel high-throughput method that uses in vivo metabolite sensors to identify bacterial metabolite producers

6.

Single-cell copy number variation detection

Jiqiu Cheng, Evelyne Vanneste, Peter Konings, Thierry Voet, Joris R Vermeesch, Yves Moreau Genome Biology 2011, 12:R80 (19 August 2011)

Abstract | Full text | PDF | PubMed | Editor’s summary

A method is presented for detecting copy number variations from array CGH data specifically optimized for use with single cells

7.

Single cell transcriptomics of neighboring hyphae of Aspergillus niger

Charissa de Bekker, Oskar Bruning, Martijs J Jonker, Timo M Breit, Han AB Wösten Genome Biology 2011, 12:R71 (4 August 2011)

A method for single cell transcriptomics is developed and is demonstrated on single hyphae of Aspergillus niger

8.

Genomes of uncultured eukaryotes: sorting FACS from fiction

Alexandra Z Worden, Christopher Dupont, Andrew E Allen Genome Biology 2011, 12:117 (27 June 2011)

Abstract | Full text | PDF | PubMed | Editor’s summary

Direct genome sequencing of biliphytes, uncultured marine eukaryotes, from the environment shows the difficulties in separating out the signals from different genomes with this technique

9.

Immunostaining of modified histones defines high-level features of the human metaphase epigenome

Edith Terrenoire, Fiona McRonald, John A Halsall, Paula Page, Robert S Illingworth, A Malcolm R Taylor, Val Davison, Laura P O'Neill, Bryan M Turner Genome Biology 2010, 11:R110 (15 November 2010)

Immunofluorescent mapping of histone modifications in single cells at metaphase demonstrates both stable and altered patterns through mitosis

10.

Transcription, one allele at a time

Timothée Lionnet, Robert H Singer Genome Biology 2010, 11:129 (27 August 2010)

Abstract | Full text | PDF | PubMed | Editor’s summary

A new technique for the imaging of transcription from a single gene in living cells highlights the dynamic nature of transcriptional regulation.

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	1.	Meeting report Single-cell biology meeting marks rebirth of an old science Sten Linnarsson Genome Biology 2013, 14:305 (19 April 2013) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary A report on the third Single Cell Analyses meeting, held at the Cold Spring Harbor Laboratory, New York, USA, March 6-9, 2013
	2.	Method Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity Yohei Sasagawa, Itoshi Nikaido, Tetsutaro Hayashi, Hiroki Danno, Kenichiro D Uno, Takeshi Imai, Hiroki R Ueda Genome Biology 2013, 14:R31 (17 April 2013) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Quartz-Seq is a method for performing single cell RNA-seq which displays high reproducibility
	3.	Research Inferring the kinetics of stochastic gene expression from single-cell RNA-sequencing data Jong Kim, John C Marioni Genome Biology 2013, 14:R7 (28 January 2013) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary A new framework for modeling stochastic gene expression in single cells yields insights into the regulatory role of histone modifications
	4.	Research highlight Acting on impulse: dissecting the dynamics of the NFAT transcriptional response Alon Kalo, Yaron Shav-Tal Genome Biology 2013, 14:102 (24 January 2013) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Yaron Shav-Tal discusses isoform specifity in transcription factor dynamics, including the role of NFAT translocations out of the nucleus
	5.	Method A high-throughput approach to identify genomic variants of bacterial metabolite producers at the single-cell level Stephan Binder, Georg Schendzielorz, Norma Stäbler, Karin Krumbach, Kristina Hoffmann, Michael Bott, Lothar Eggeling Genome Biology 2012, 13:R40 (28 May 2012) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary A novel high-throughput method that uses in vivo metabolite sensors to identify bacterial metabolite producers
	6.	Method Single-cell copy number variation detection Jiqiu Cheng, Evelyne Vanneste, Peter Konings, Thierry Voet, Joris R Vermeesch, Yves Moreau Genome Biology 2011, 12:R80 (19 August 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary A method is presented for detecting copy number variations from array CGH data specifically optimized for use with single cells
	7.	Method Single cell transcriptomics of neighboring hyphae of Aspergillus niger Charissa de Bekker, Oskar Bruning, Martijs J Jonker, Timo M Breit, Han AB Wösten Genome Biology 2011, 12:R71 (4 August 2011) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary A method for single cell transcriptomics is developed and is demonstrated on single hyphae of Aspergillus niger
	8.	Research highlight Genomes of uncultured eukaryotes: sorting FACS from fiction Alexandra Z Worden, Christopher Dupont, Andrew E Allen Genome Biology 2011, 12:117 (27 June 2011) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary Direct genome sequencing of biliphytes, uncultured marine eukaryotes, from the environment shows the difficulties in separating out the signals from different genomes with this technique
	9.	Research Immunostaining of modified histones defines high-level features of the human metaphase epigenome Edith Terrenoire, Fiona McRonald, John A Halsall, Paula Page, Robert S Illingworth, A Malcolm R Taylor, Val Davison, Laura P O'Neill, Bryan M Turner Genome Biology 2010, 11:R110 (15 November 2010) Abstract \| Full text \| PDF \| PubMed \| Cited on BioMed Central \| Editor’s summary Immunofluorescent mapping of histone modifications in single cells at metaphase demonstrates both stable and altered patterns through mitosis
	10.	Research highlight Transcription, one allele at a time Timothée Lionnet, Robert H Singer Genome Biology 2010, 11:129 (27 August 2010) Abstract \| Full text \| PDF \| PubMed \| Editor’s summary A new technique for the imaging of transcription from a single gene in living cells highlights the dynamic nature of transcriptional regulation.