Special Feature
Method of the Year 2012
- Special Feature
Nature Methods' choice for Method of the Year 2012 is targeted proteomics. A collection of articles showcases how mass spectrometry technology is being developed and applied for targeted protein analysis in both basic and translational research. The Methods to Watch feature provides a glimpse at possible future Methods of the Year.
Editorial
Special feature: Method of the Year 2012
Method of the Year 2012
doi:10.1038/nmeth.2329
New method and tool developments are helping to bring targeted proteome analysis technologies to a broader array of biologists.
Abstract - | Full Text - Method of the Year 2012 | PDF (71 KB) - Method of the Year 2012
News Feature
Special feature: Method of the Year 2012
Targeted proteomics
Vivien Marx
doi:10.1038/nmeth.2285
Analysis of a preselected group of proteins delivers more precise, quantitative, sensitive data to more biologists. Vivien Marx reports.
Abstract - | Full Text - Targeted proteomics | PDF (1,015 KB)
Primer
Special feature: Method of the Year 2012
Mass spectrometry–based targeted proteomics
Allison Doerr
doi:10.1038/nmeth.2286
A brief overview of mass spectrometry technology for targeted proteomics applications is presented.
Abstract - | Full Text - Mass spectrometry–based targeted proteomics | PDF (337 KB)
Commentary
Special feature: Method of the Year 2012
Proteomics meets the scientific method -
Paola Picotti, Bernd Bodenmiller & Ruedi Aebersold
doi:10.1038/nmeth.2291
By delivering precise, reproducible quantification of proteins of interest in biological samples, targeted proteomics approaches are allowing researchers to apply the scientific method using mass spectrometry.
Abstract - | Full Text - Proteomics meets the scientific method | PDF (197 KB)
Perspective
Special feature: Method of the Year 2012
Quantitative analysis of peptides and proteins in biomedicine by targeted mass spectrometry -
Michael A Gillette & Steven A Carr
doi:10.1038/nmeth.2309
The role of targeted mass spectrometry technology in the field of clinical proteomics is discussed in this Perspective.
Abstract - | Full Text - Quantitative analysis of peptides and proteins in biomedicine by targeted mass spectrometry | PDF (519 KB)
Methods to Watch
Special feature: Method of the Year 2012
Disruptive nanopores -
Nicole Rusk
doi:10.1038/nmeth.2292
2013 will see the first commercial nanopore sequencers.
Special feature: Method of the Year 2012
Probing microbiome function -
Tal Nawy
doi:10.1038/nmeth.2293
In studies of microbiome function, marker sequencing will be balanced by alternative profiling approaches.
Abstract - | Full Text - Probing microbiome function | PDF (288 KB)
Special feature: Method of the Year 2012
Near-infrared probes -
Erika Pastrana
doi:10.1038/nmeth.2294
Development of genetically encoded tools with absorption and emission spectra in the near infrared is worth the trouble.
Abstract - | Full Text - Near-infrared probes | PDF (170 KB)
Special feature: Method of the Year 2012
Defective (but useful) diamonds -
Daniel Evanko
doi:10.1038/nmeth.2295
Nitrogen vacancy center defects in diamonds confer remarkably useful properties.
Abstract - | Full Text - Defective (but useful) diamonds | PDF (170 KB)
Special feature: Method of the Year 2012
In vitro niches-
Natalie de Souza
doi:10.1038/nmeth.2296
Attempts to replicate the stem cell microenvironment in the culture dish continue.
Special feature: Method of the Year 2012
Volumetric imaging in a snapshot -
Erika Pastrana
doi:10.1038/nmeth.2297
Microscopes that render tissue-volume images from single snapshots are making their way into biology.
Abstract - | Full Text - Volumetric imaging in a snapshot | PDF (271 KB)
Special feature: Method of the Year 2012
Mass spectrometry of intact protein complexes -
Allison Doerr
doi:10.1038/nmeth.2298
Mass spectrometry technology to detect and characterize large, intact protein complexes is becoming more accessible.
Abstract - | Full Text - Mass spectrometry of intact protein complexes | PDF (326 KB)
Special feature: Method of the Year 2012
Machines learn phenotypes -
Natalie de Souza
doi:10.1038/nmeth.2299
Automated classifiers speed up biological phenotyping.
Abstract - | Full Text - Machines learn phenotypes | PDF (326 KB)