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Nature reviews. Genetics, ISSN 1471-0056, 06/2019, Volume 20, Issue 9, pp. 562 - 562
An amendment to this paper has been published and can be accessed via a link at the top of the paper. 
Journal Article
Genome biology, ISSN 1474-7596, 06/2018, Volume 19, Issue 1, p. 81
Population phenotypic variation can arise from genetic differences between individuals, or from cellular heterogeneity in an isogenic group of cells or... 
Mammals - genetics | Animals | Gene Expression - genetics | CpG Islands - genetics | Genetic Variation - genetics | Mice | Promoter Regions, Genetic - genetics | Cell Lineage - genetics | Genetic Variation | Cell Lineage | Promoter Regions, Genetic | Gene Expression | CpG Islands | Mammals
Journal Article
Genome biology, ISSN 1474-7596, 11/2017, Volume 18, Issue 1, p. 212
Single-cell RNA-sequencing (scRNA-seq) allows studying heterogeneity in gene expression in large cell populations. Such heterogeneity can arise due to... 
Models, Theoretical | Reproducibility of Results | Neurons | Gene Expression Regulation | Factor Analysis, Statistical | Databases as Topic | Mouse Embryonic Stem Cells | Animals | Sequence Analysis, RNA | Computer Simulation | Mice | Software | Single-Cell Analysis
Journal Article
F1000Research, ISSN 2046-1402, 2016, Volume 5, p. 2122
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cells. This provides biological resolution that cannot be... 
Bioinformatics | Genomics
Journal Article
Bioinformatics (Oxford, England), ISSN 1367-4803, 07/2016, Volume 32, Issue 14, p. 2193
By collecting multiple samples per subject, researchers can characterize intra-subject variation using physiologically relevant measurements such as gene... 
Gene Expression Profiling - methods | Computational Biology - methods | Gene Expression | Software | Humans | Neoplasms
Journal Article
Genome biology, 04/2016, Volume 17, p. 70
Traditional differential expression tools are limited to detecting changes in overall expression, and fail to uncover the rich information provided by... 
Sequence Analysis, RNA - methods | Animals | Single-Cell Analysis - methods | Humans | Bayes Theorem | Gene Expression Profiling - methods | Mouse Embryonic Stem Cells - cytology | Mice | Genetic Heterogeneity | Web Browser
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 06/2015, Volume 11, Issue 6
  Single-cell mRNA sequencing can uncover novel cell-to-cell heterogeneity in gene expression levels in seemingly homogeneous populations of cells. However,... 
Datasets | Algorithms | Ontology | Noise | Funding | Stem cells | Population | Gene expression | Bayesian analysis | Experiments | Heterogeneity | Populations | Genes | Mathematical models | Biological | Gene sequencing
Journal Article
by Surenan, P and nos, Fotios and Young, Robin and Warren, Helen and Cook, J.P and Manning, Alisa and Grarup, Niels and Sim, Xueling and Barnes, Daniel and Witkowska, Ewa and Staley, James R and Tragante, Vinicius and Tukiainen, Taru and Yaghootkar, Hanieh and Masca, N and Freitag, Christine and Ferreira, Teresa and Giannakopoulou, Olga and Tinker, A and Harakalova, Magdalena and Mihailov, Evelin and Liu, C and Kraja, Aldi and Nielsen, Sune and Rasheed, Asif and Samuel, Maria and Zhao, Wei and Bonnycastle, Lori and Jackson, Anne and Narisu, Narisu and Swift, Amy and Southam, Lorraine and Marten, Jonathan and Huyghe, Jeroen R and Stancáková, Alena and Fava, Cristiano and Ohlsson, T and Matchan, Angela and Stirrups, Kathy and Bork-Jensen, Jette and Gjesing, Anette and Kontto, J and Perola, Markus and Shaw-Hawkins, Sue and Havulinna, Aki and Zhang, H and Donnelly, Louise and Groves, Christopher and Rayner, Nigel William and Neville, Matthew and Robertson, Neil and Yiorkas, A.M and Herzig, K.H and Kajantie, Eero and Zhang, Weihua and Willems, Sara and Lannfelt, Lars and Malerba, Giovanni and Soranzo, Nicole and Trabetti, Elisabetta and Verweij, Niek and Evangelou, Evangelos and Moayyeri, Alireza and Vergnaud, A.-C and Nelson, Christopher P and Poveda, A and Varga, Tibor V and Caslake, Muriel and De Craen, Anton J. M and Trompet, Stella and Luan, Jian'An and Scott, Robert and Harris, Sarah and Liewald, David C and Marioni, Riccardo and Menni, Cristina and Farmaki, Aliki-Eleni and Hallmans, Göran and Renström, Frida and Huffman, Jennifer and Hassinen, M and Burgess, Stephen and Vasan, R.S and Felix, Janine and Uria-Nickelsen, M and Mälarstig, Anders and Reilly, D.F and Hoek, M and Vogt, T.F and Lin, Honghuang and Lieb, Wolfgang and Traylor, Matthew and Markus, Hugh and Highland, Heather and Justice, Anne and Marouli, Eirini and Lindström, Jaana and Uusitupa, Matti and Komulainen, Pirjo and Lakka, Timo and ... and Understanding Soc Sci Grp and Wellcome Trust Case Control Consor and GoT2DGenes Consortium and ExomeBP Consortium and CHD Exome Consortium and Giant Consortiumm and CHARGE Exome Chip Blood Pressure C and EPIC-CVD Consortium and CHARGE Heart Failure Consortiumm and EchoGen Consortiumm and EPIC-InterAct Consortium and Lifelines Cohort Study and Metastroke Consortiumm and T2D-GENES Consortium and Wellcome Trust Case Control Consortium and Understanding Society Scientific Group and EchoGen Consortium and CHD Exome+ Consortium and CHARGE+ Exome Chip Blood Pressure Consortium and CHARGE-Heart Failure Consortium and METASTROKE Consortium and GIANT Consortium and Medicinska fakulteten and Institutionen för folkhälsa och klinisk medicin and Enheten för biobanksforskning and Allmänmedicin and Umeå universitet and Medicin
Nature Genetics, ISSN 1061-4036, 10/2016, Volume 48, Issue 10, pp. 1151 - 1161
Journal Article
ISSN 1465-4644, 2017
An increasing number of studies are using single-cell RNA-sequencing (scRNA-seq) to characterize the gene expression profiles of individual cells. One common... 
single-cell RNA sequencing | plate effects | differential expression | summation
Journal Article
Journal Article
Journal Article
Nature Genetics, ISSN 1061-4036, 2014, Volume 46, Issue 7, pp. 753 - 758
Journal Article
Nature Biotechnology, ISSN 1087-0156, 2015, Volume 33, Issue 2, pp. 155 - 160
Recent technical developments have enabled the transcriptomes of hundreds of cells to be assayed in an unbiased manner, opening up the possibility that new...