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Special Feature

Method of the Year 2008

Nature Methods' Method of the Year 2008 goes to super-resolution fluorescence microscopy. This series of articles—and the related movie—showcase how these novel imaging methods came into their own in 2008 and the incredible impact they promise to have in biological research. The Methods to Watch feature provides a glimpse of future Methods of the Year and the Reader's Choice shows methods nominated by readers and editors, and the votes that they received.

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Editorials

Special Feature: Method of the Year

Method of the Year 2008 p1

doi:10.1038/nmeth.f.244

With its tremendous potential for understanding cellular biology now poised to become a reality, super-resolution fluorescence microscopy is our choice for Method of the Year.


Maturing interactions p2

doi:10.1038/nmeth0109-2

The maturation of large-scale protein-protein interaction methodologies calls for improved methods to assess performance and data quality.


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Correspondence

Predicting free energy changes using structural ensembles pp3 - 4

Alexander Benedix, Caroline M Becker, Bert L de Groot, Amedeo Caflisch & Rainer A Böckmann

doi:10.1038/nmeth0109-3


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Research Highlights

Targeted translational profiling p7

Nicole Rusk

doi:10.1038/nmeth0109-7

Tagging ribosomes in a cell type–specific way allows the isolation of mRNAs that are being translated in these cells.


Paving the path to single-molecule structures pp8 - 9

Allison Doerr

doi:10.1038/nmeth0109-8a

A new generation of brilliant X-ray laser sources will be coming online within the next few years. Researchers now show that using these lasers to determine the structures of single molecules should be possible.


Global instability pp8 - 9

Amy Donner

doi:10.1038/nmeth0109-8b

Scientists create a high-throughput platform for proteome-scale assessment of protein stability.


News in brief p9

doi:10.1038/nmeth0109-9


Good news travels fast p10

Michael Eisenstein

doi:10.1038/nmeth0109-10

A new spin on a popular imaging technique allows researchers to accurately visualize tumors deep within the tissues of live mice.


They know why the caged bird sings... slower p12

Allison Doerr

doi:10.1038/nmeth0109-12

A device to cool localized areas of the zebra finch brain allows researchers to investigate how the timing of birdsong is controlled.


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News Feature

Special Feature: Method of the Year

Super-resolution microscopy: breaking the limits pp15 - 18

Kelly Rae Chi

doi:10.1038/nmeth.f.234

After a long period of measured development and a recent surge of technical advances driven by physicists, super-resolution fluorescence microscopy emerged in 2008 as a powerful tool for biologists. Kelly Rae Chi reports.


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Primer

Special Feature: Method of the Year

Primer: fluorescence imaging under the diffraction limit pp19 - 20

Daniel Evanko

doi:10.1038/nmeth.f.235

A brief description of the theory and methods behind super-resolution fluorescence imaging.


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Commentary

Special Feature: Method of the Year

Putting super-resolution fluorescence microscopy to work pp21 - 23

Jennifer Lippincott-Schwartz & Suliana Manley

doi:10.1038/nmeth.f.233

Super-resolution microscopy is poised to revolutionize our understanding of the workings of the cell. But the technology still has some limitations, and these must be taken into consideration if widespread application is to yield biological insight.


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Perspective

Special Feature: Method of the Year

Microscopy and its focal switch pp24 - 32

Stefan W Hell

doi:10.1038/nmeth.1291


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Methods to Watch

Special Feature: Method of the Year

Induced pluripotency p33

Natalie de Souza

doi:10.1038/nmeth.f.236

Methods to reprogram somatic cells to pluripotency have improved and will improve further; more biological studies of these cells are forthcoming.


Special Feature: Method of the Year

Synthetic life p33

Nicole Rusk

doi:10.1038/nmeth.f.237

After constructing a synthetic genome, the challenge is to prove its functionality.


Special Feature: Method of the Year

Imaging through automation p34

Daniel Evanko

doi:10.1038/nmeth.f.238

Automated imaging has the power to transform microscopy into a more quantitative technique with new capabilities.


Special Feature: Method of the Year

Quantitative mass spectrometry p34

Allison Doerr

doi:10.1038/nmeth.f.239

Quantitative mass spectrometry–based proteomics is now being applied on a large scale to address interesting biological questions.


Special Feature: Method of the Year

Membrane protein structures p35

Allison Doerr

doi:10.1038/nmeth.f.240

New methods addressing the challenges in membrane protein expression, solubilization and crystallization promise to yield many more atomic structures.


Special Feature: Method of the Year

Optical imaging in thick samples p35

Natalie de Souza

doi:10.1038/nmeth.f.241

Optical methods to image deep into thick samples make it increasingly possible to watch biological processes in vivo.


Special Feature: Method of the Year

Experimental micro-matchmaking p36

Nicole Rusk

doi:10.1038/nmeth.f.242

Although microRNA target predictions are continually improving, high-throughput validation of direct interaction is still needed.


Special Feature: Method of the Year

Controlling cell function with light p36

Daniel Evanko

doi:10.1038/nmeth.f.243

The use of light for active cellular control rather than just passive observation continues to make headway.


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News and Views

Inhibiting microRNA function in vivo pp37 - 38

Pedro P Medina & Frank J Slack

doi:10.1038/nmeth0109-37

A new strategy is presented to functionally knock down microRNAs in a mouse.


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Perspective

Literature-curated protein interaction datasets pp39 - 46

Michael E Cusick, Haiyuan Yu, Alex Smolyar, Kavitha Venkatesan, Anne-Ruxandra Carvunis, Nicolas Simonis, Jean-François Rual, Heather Borick, Pascal Braun, Matija Dreze, Jean Vandenhaute, Mary Galli, Junshi Yazaki, David E Hill, Joseph R Ecker, Frederick P Roth & Marc Vidal

doi:10.1038/nmeth.1284


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Resource

Empirically controlled mapping of the Caenorhabditis elegans protein-protein interactome network pp47 - 54

Nicolas Simonis, Jean-François Rual, Anne-Ruxandra Carvunis, Murat Tasan, Irma Lemmens, Tomoko Hirozane-Kishikawa, Tong Hao, Julie M Sahalie, Kavitha Venkatesan, Fana Gebreab, Sebiha Cevik, Niels Klitgord, Changyu Fan, Pascal Braun, Ning Li, Nono Ayivi-Guedehoussou, Elizabeth Dann, Nicolas Bertin, David Szeto, Amélie Dricot, Muhammed A Yildirim, Chenwei Lin, Anne-Sophie de Smet, Huey-Ling Kao, Christophe Simon, Alex Smolyar, Jin Sook Ahn, Muneesh Tewari, Mike Boxem, Stuart Milstein, Haiyuan Yu, Matija Dreze, Jean Vandenhaute, Kristin C Gunsalus, Michael E Cusick, David E Hill, Jan Tavernier, Frederick P Roth & Marc Vidal

doi:10.1038/nmeth.1279

High-throughput yeast two-hybrid screening is used to generate the largest C. elegans interactome resource available thus far. Using an empirical quality control framework presented in Venkatesan et al., also online, the data set is evaluated for quality and is used to estimate the total size of the worm interactome.


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Analysis

Cost-effective strategies for completing the interactome pp55 - 61

Ariel S Schwartz, Jingkai Yu, Kyle R Gardenour, Russell L Finley Jr & Trey Ideker

doi:10.1038/nmeth.1283

Different experimental designs for protein interaction mapping are modeled to compare their efficiency in completing an interactome map. Testing of the strategy that minimized the final experimental cost in an ongoing Drosophila melanogaster interactome project found 450 high-confidence interactions using only 47 microtiter plates.


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Brief Communications

Stable knockdown of microRNA in vivo by lentiviral vectors pp63 - 66

Bernhard Gentner, Giulia Schira, Alice Giustacchini, Mario Amendola, Brian D Brown, Maurilio Ponzoni & Luigi Naldini

doi:10.1038/nmeth.1277

To study microRNA function in vivo, the authors optimize lentiviral-driven expression of microRNA target sequences in mice and show dose-dependent inhibition of microRNA-mediated regulation of reporter constructs as well as of natural microRNA targets. With the inhibition of a miR-223, they can phenocopy the knockout of this microRNA.


Sensitive, specific polymorphism discovery in bacteria using massively parallel sequencing pp67 - 69

Chad Nusbaum, Toshiro K Ohsumi, James Gomez, John Aquadro, Thomas C Victor, Robert M Warren, Deborah T Hung, Bruce W Birren, Eric S Lander & David B Jaffe

doi:10.1038/nmeth.1286

This variant ascertainment algorithm, or VAAL, uses short sequence reads of haploid bacterial genomes to first locally assemble the reads and then compare these assemblies to the reference genome. This allows VAAL to detect all types of variants ranging from single-nucleotide polymorphisms to large insertions or deletions.


An in vitro microfluidic approach to generating protein-interaction networks pp71 - 74

Doron Gerber, Sebastian J Maerkl & Stephen R Quake

doi:10.1038/nmeth.1289

A combination of in vitro protein synthesis and microfluidics is used to measure protein-protein interactions between 43 proteins in Streptococcus pneumoniae. The method does not require expression within cells and is amenable to large-scale experiments.


Integrated network analysis platform for protein-protein interactions pp75 - 77

Jianmin Wu, Tea Vallenius, Kristian Ovaska, Jukka Westermarck, Tomi P Mäkelä & Sampsa Hautaniemi

doi:10.1038/nmeth.1282

A web-based protein-protein interaction (PPI) analysis platform called PINA integrates PPI data from six public databases and provides tools to aid in the construction and analysis of PPI networks, including local recuration and annotation of existing records and manual addition of new records.


Infrared laser–mediated gene induction in targeted single cells in vivo pp79 - 81

Yasuhiro Kamei, Motoshi Suzuki, Kenjiro Watanabe, Kazuhiro Fujimori, Takashi Kawasaki, Tomonori Deguchi, Yoshihiro Yoneda, Takeshi Todo, Shin Takagi, Takashi Funatsu & Shunsuke Yuba

doi:10.1038/nmeth.1278

An infrared laser is used to activate gene expression from a heat shock promoter in single cells in Caenorhabditis elegans, and is shown to be more effective and less detrimental to cells than a visible laser used for this purpose.


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Articles

An empirical framework for binary interactome mapping pp83 - 90

Kavitha Venkatesan, Jean-François Rual, Alexei Vazquez, Ulrich Stelzl, Irma Lemmens, Tomoko Hirozane-Kishikawa, Tong Hao, Martina Zenkner, Xiaofeng Xin, Kwang-Il Goh, Muhammed A Yildirim, Nicolas Simonis, Kathrin Heinzmann, Fana Gebreab, Julie M Sahalie, Sebiha Cevik, Christophe Simon, Anne-Sophie de Smet, Elizabeth Dann, Alex Smolyar, Arunachalam Vinayagam, Haiyuan Yu, David Szeto, Heather Borick, Amélie Dricot, Niels Klitgord, Ryan R Murray, Chenwei Lin, Maciej Lalowski, Jan Timm, Kirstin Rau, Charles Boone, Pascal Braun, Michael E Cusick, Frederick P Roth, David E Hill, Jan Tavernier, Erich E Wanker, Albert-László Barabási & Marc Vidal

doi:10.1038/nmeth.1280

A framework based on numerous empirical data, including protein-protein interaction reference sets, provides parameters for assessing the quality and coverage of protein-protein interaction datasets and estimation of the size of the human interactome. Braun et al., also in this issue, use the reference sets to help derive confidence scores for individual protein-protein interactions.


An experimentally derived confidence score for binary protein-protein interactions pp91 - 97

Pascal Braun, Murat Tasan, Matija Dreze, Miriam Barrios-Rodiles, Irma Lemmens, Haiyuan Yu, Julie M Sahalie, Ryan R Murray, Luba Roncari, Anne-Sophie de Smet, Kavitha Venkatesan, Jean-François Rual, Jean Vandenhaute, Michael E Cusick, Tony Pawson, David E Hill, Jan Tavernier, Jeffrey L Wrana, Frederick P Roth & Marc Vidal

doi:10.1038/nmeth.1281

Use of the protein-protein interaction reference sets reported in this issue in Venkatesan et al. to benchmark four complementary protein-protein interaction assays, followed by the training of a logistic regression model, allows the assignment of standardized confidence scores to individual protein-protein interactions.


High-resolution mapping of copy-number alterations with massively parallel sequencing pp99 - 103

Derek Y Chiang, Gad Getz, David B Jaffe, Michael J T O'Kelly, Xiaojun Zhao, Scott L Carter, Carsten Russ, Chad Nusbaum, Matthew Meyerson & Eric S Lander

doi:10.1038/nmeth.1276

Massively parallel sequencing is a precise way to analyze copy-number variations given the right computational tools. An algorithm now facilitates the detection and fine mapping of copy-number gains and losses from millions of short sequence reads.


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Technology Feature

High-throughput screening: designer screens pp105 - 108

Nathan Blow

doi:10.1038/nmeth0109-105

Some researchers say an eighty-year-old statistical method can make setting up and analyzing high-throughput screens and large-scale experiments faster and more efficient. So why are more biologists not flocking to use this tool?


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Errata

Erratum: On display on a bug: a systematic approach to characterize antibodies p109

Thomas Knorpp & Markus F Templin

doi:10.1038/nmeth0109-109a


Erratum: Much room for improvement in deposition rates of expression microarray datasets p109

Scott A Ochsner, David L Steffen, Christian J Stoeckert Jr & Neil J McKenna

doi:10.1038/nmeth0109-109b


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