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HFpostdoc / PitcherPlants

Post-doctoral research at Harvard Forest looking at changes in networks associated with Pitcher Plants.
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Read about proteomics #18

Closed MKLau closed 8 years ago

MKLau commented 10 years ago
MKLau commented 10 years ago

The Proteome in Balance

13 AUGUST 2010 VOL 329 SCIENCE www.sciencemag.org

MKLau commented 10 years ago

http://www.allhands.org.uk/2005/proceedings/papers/525.pdf

MKLau commented 10 years ago

Twyman RM (2004). Principles Of Proteomics (Advanced Text Series). Oxford, UK: BIOS Scientific Publishers. ISBN 1-85996-273-4. (covers almost all branches of proteomics)

MKLau commented 10 years ago

Naven T, Westermeier R (2002). Proteomics in Practice: A Laboratory Manual of Proteome Analysis. Weinheim: Wiley-VCH. ISBN 3-527-30354-5. (focused on 2D-gels, good on detail)

MKLau commented 10 years ago

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2493381/

MKLau commented 10 years ago

http://www.uvm.edu/~ngotelli/manuscriptpdfs/Gotelli_etal_2012_TREE.pdf

MKLau commented 10 years ago

Ecological proteomics: finding molecular markers that matter. Dalziel AC, Schulte PM. Author information

Abstract It is becoming increasingly clear that local adaptation can occur even in the face of high gene flow and limited overall genomic differentiation among populations (reviewed by Nosil et al. 2009). Thus, one important task for molecular ecologists is to sift through genomic data to identify the genes that matter for local adaptation (Hoffmann & Willi 2008; Stapley et al. 2010). Recent advances in high-throughput molecular technologies have facilitated this search, and a variety of approaches can be applied, including those grounded in population genetics [e.g. outlier analysis (Pavlidis et al. 2008)], classical and quantitative genetics [e.g. quantitative trait locus analysis (MacKay et al. 2009)], and cellular and molecular biology [e.g. transcriptomics (Larsen et al. 2011)]. However, applying these approaches in nonmodel organisms that lack extensive genetic and genomic resources has been a formidable challenge. In this issue, Papakostas et al. (2012). demonstrate how one such approach – high-throughput label-free proteomics (reviewed by Gstaiger & Aebersold 2009; Domon & Aebersold 2010) – can be applied to detect genes that may be involved in local adaptation in a species with limited genomic resources. Using this approach, they identified genes that may be implicated in local adaptation to salinity in European whitefish (Coregonus lavaretus L.) and provide insight into the mechanisms by which fish cope with changes in this critically important environmental parameter.