Top 10
The top ten charts the articles that have been downloaded most often, in PDF format, from the Nature Methods website in recent weeks. The chart does not rank the quality, scientific significance or citation impact of the content. However, it may bring articles to your attention that you might not have otherwise noticed. We hope you enjoy them.
Top of pageBrief Communication
A chemical platform for improved induction of human iPSCs
Tongxiang Lin, Rajesh Ambasudhan, Xu Yuan, Wenlin Li, Simon Hilcove, Ramzey Abujarour, Xiangyi Lin, Heung Sik Hahm, Ergeng Hao, Alberto Hayek & Sheng Ding
doi:10.1038/nmeth.1393
Abstract - A chemical platform for improved induction of human iPSCs | Full Text - A chemical platform for improved induction of human iPSCs | PDF (749 KB) - A chemical platform for improved induction of human iPSCs | Supplementary information - A chemical platform for improved induction of human iPSCs
Article
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Ali Mortazavi, Brian A Williams, Kenneth McCue, Lorian Schaeffer & Barbara Wold
doi:10.1038/nmeth.1226
Abstract - Mapping and quantifying mammalian transcriptomes by RNA-Seq | Full Text - Mapping and quantifying mammalian transcriptomes by RNA-Seq | PDF (648 KB) - Mapping and quantifying mammalian transcriptomes by RNA-Seq | Supplementary information - Mapping and quantifying mammalian transcriptomes by RNA-Seq
See also: News and Views by Shendure
Brief Communication
Proteomics strategy for quantitative protein interaction profiling in cell extracts
Kirti Sharma, Christoph Weber, Michaela Bairlein, Zoltán Greff, György Kéri, Jürgen Cox, Jesper V Olsen & Henrik Daub
doi:10.1038/nmeth.1373
Abstract - Proteomics strategy for quantitative protein interaction profiling in cell extracts | Full Text - Proteomics strategy for quantitative protein interaction profiling in cell extracts | PDF (581 KB) - Proteomics strategy for quantitative protein interaction profiling in cell extracts | Supplementary information - Proteomics strategy for quantitative protein interaction profiling in cell extracts
Commentary
Next-generation sequencing transforms today's biology
Stephan C Schuster
doi:10.1038/nmeth1156
Abstract - | Full Text - Next-generation sequencing transforms today's biology | PDF (342 KB) - Next-generation sequencing transforms today's biology
Article
Visual proteomics of the human pathogen Leptospira interrogans
Martin Beck, Johan A Malmström, Vinzenz Lange, Alexander Schmidt, Eric W Deutsch & Ruedi Aebersold
doi:10.1038/nmeth.1390
Abstract - Visual proteomics of the human pathogen Leptospira interrogans | Full Text - Visual proteomics of the human pathogen Leptospira interrogans | PDF (1,368 KB) - Visual proteomics of the human pathogen Leptospira interrogans | Supplementary information - Visual proteomics of the human pathogen Leptospira interrogans
See also: News and Views by Grünewald
Article
Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms
Tim van Opijnen, Kip L Bodi & Andrew Camilli
doi:10.1038/nmeth.1377
Abstract - Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms | Full Text - Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms | PDF (974 KB) - Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms | Supplementary information - Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms
Article
mRNA-Seq whole-transcriptome analysis of a single cell
Fuchou Tang, Catalin Barbacioru, Yangzhou Wang, Ellen Nordman, Clarence Lee, Nanlan Xu, Xiaohui Wang, John Bodeau, Brian B Tuch, Asim Siddiqui, Kaiqin Lao & M Azim Surani
doi:10.1038/nmeth.1315
Abstract - mRNA-Seq whole-transcriptome analysis of a single cell | Full Text - mRNA-Seq whole-transcriptome analysis of a single cell | PDF (465 KB) - mRNA-Seq whole-transcriptome analysis of a single cell | Supplementary information - mRNA-Seq whole-transcriptome analysis of a single cell
Article
High-resolution, long-term characterization of bacterial motility using optical tweezers
Taejin L Min, Patrick J Mears, Lon M Chubiz, Christopher V Rao, Ido Golding & Yann R Chemla
doi:10.1038/nmeth.1380
Abstract - High-resolution, long-term characterization of bacterial motility using optical tweezers | Full Text - High-resolution, long-term characterization of bacterial motility using optical tweezers | PDF (799 KB) - High-resolution, long-term characterization of bacterial motility using optical tweezers | Supplementary information - High-resolution, long-term characterization of bacterial motility using optical tweezers
Perspective
A guide to choosing fluorescent proteins
Nathan C Shaner, Paul A Steinbach & Roger Y Tsien
doi:10.1038/nmeth819
Abstract - A guide to choosing fluorescent proteins | Full Text - A guide to choosing fluorescent proteins | PDF (74 KB) - A guide to choosing fluorescent proteins | Supplementary information - A guide to choosing fluorescent proteins
Article
High-resolution identification of balanced and complex chromosomal rearrangements by 4C technology
Marieke Simonis, Petra Klous, Irene Homminga, Robert-Jan Galjaard, Erik-Jan Rijkers, Frank Grosveld, Jules P P Meijerink & Wouter de Laat
doi:10.1038/nmeth.1391
Abstract - High-resolution identification of balanced and complex chromosomal rearrangements by 4C technology | Full Text - High-resolution identification of balanced and complex chromosomal rearrangements by 4C technology | PDF (615 KB) - High-resolution identification of balanced and complex chromosomal rearrangements by 4C technology | Supplementary information - High-resolution identification of balanced and complex chromosomal rearrangements by 4C technology
