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Results: 1 to 20 of 90

1.

The 4E-BP Caf20p Mediates Both eIF4E-Dependent and Independent Repression of Translation.

Castelli LM, Talavera D, Kershaw CJ, Mohammad-Qureshi SS, Costello JL, Rowe W, Sims PF, Grant CM, Hubbard SJ, Ashe MP, Pavitt GD.

PLoS Genet. 2015 May 14;11(5):e1005233. doi: 10.1371/journal.pgen.1005233. eCollection 2015 May.

2.

The effectiveness of different interventions to promote poison prevention behaviours in households with children: a network meta-analysis.

Achana FA, Sutton AJ, Kendrick D, Wynn P, Young B, Jones DR, Hubbard SJ, Cooper NJ.

PLoS One. 2015 Apr 20;10(3):e0121122. doi: 10.1371/journal.pone.0121122. eCollection 2015.

3.

Quantitative proteomics and network analysis of SSA1 and SSB1 deletion mutants reveals robustness of chaperone HSP70 network in Saccharomyces cerevisiae.

Jarnuczak AF, Eyers CE, Schwartz JM, Grant CM, Hubbard SJ.

Proteomics. 2015 Feb 16. doi: 10.1002/pmic.201400527. [Epub ahead of print]

PMID:
25689132
4.

Global mRNA selection mechanisms for translation initiation.

Costello J, Castelli LM, Rowe W, Kershaw CJ, Talavera D, Mohammad-Qureshi SS, Sims PF, Grant CM, Pavitt GD, Hubbard SJ, Ashe MP.

Genome Biol. 2015 Jan 5;16:10. doi: 10.1186/s13059-014-0559-z.

5.

The yeast La related protein Slf1p is a key activator of translation during the oxidative stress response.

Kershaw CJ, Costello JL, Castelli LM, Talavera D, Rowe W, Sims PF, Ashe MP, Hubbard SJ, Pavitt GD, Grant CM.

PLoS Genet. 2015 Jan 8;11(1):e1004903. doi: 10.1371/journal.pgen.1004903. eCollection 2015 Jan.

6.

Computational phosphoproteomics: from identification to localization.

Lee DC, Jones AR, Hubbard SJ.

Proteomics. 2015 Mar;15(5-6):950-63. doi: 10.1002/pmic.201400372. Epub 2015 Feb 17.

7.

Network meta-analysis of multiple outcome measures accounting for borrowing of information across outcomes.

Achana FA, Cooper NJ, Bujkiewicz S, Hubbard SJ, Kendrick D, Jones DR, Sutton AJ.

BMC Med Res Methodol. 2014 Jul 21;14:92. doi: 10.1186/1471-2288-14-92.

8.

A research agenda for acute care services delivery in low- and middle-income countries.

Moresky RT, Bisanzo M, Rubenstein BL, Hubbard SJ, Cohen H, Ouyang H, Duber HC, Marsh RH.

Acad Emerg Med. 2013 Dec;20(12):1264-71. doi: 10.1111/acem.12259. Epub 2013 Nov 27.

PMID:
24283791
9.

Puf3p induces translational repression of genes linked to oxidative stress.

Rowe W, Kershaw CJ, Castelli LM, Costello JL, Ashe MP, Grant CM, Sims PF, Pavitt GD, Hubbard SJ.

Nucleic Acids Res. 2014 Jan;42(2):1026-41. doi: 10.1093/nar/gkt948. Epub 2013 Oct 25.

10.

Home safety education and provision of safety equipment for injury prevention (Review).

Kendrick D, Young B, Mason-Jones AJ, Ilyas N, Achana FA, Cooper NJ, Hubbard SJ, Sutton AJ, Smith S, Wynn P, Mulvaney C, Watson MC, Coupland C.

Evid Based Child Health. 2013 May;8(3):761-939. doi: 10.1002/ebch.1911. Review.

PMID:
23877910
11.

Quantitative analysis of chaperone network throughput in budding yeast.

Brownridge P, Lawless C, Payapilly AB, Lanthaler K, Holman SW, Harman VM, Grant CM, Beynon RJ, Hubbard SJ.

Proteomics. 2013 Apr;13(8):1276-91. doi: 10.1002/pmic.201200412. Epub 2013 Mar 15.

12.

Addressing statistical biases in nucleotide-derived protein databases for proteogenomic search strategies.

Blakeley P, Overton IM, Hubbard SJ.

J Proteome Res. 2012 Nov 2;11(11):5221-34. doi: 10.1021/pr300411q. Epub 2012 Oct 15.

13.

Home safety education and provision of safety equipment for injury prevention.

Kendrick D, Young B, Mason-Jones AJ, Ilyas N, Achana FA, Cooper NJ, Hubbard SJ, Sutton AJ, Smith S, Wynn P, Mulvaney C, Watson MC, Coupland C.

Cochrane Database Syst Rev. 2012 Sep 12;9:CD005014. doi: 10.1002/14651858.CD005014.pub3. Review.

PMID:
22972081
14.

Prediction of missed proteolytic cleavages for the selection of surrogate peptides for quantitative proteomics.

Lawless C, Hubbard SJ.

OMICS. 2012 Sep;16(9):449-56. doi: 10.1089/omi.2011.0156. Epub 2012 Jul 17.

15.

A critical appraisal of techniques, software packages, and standards for quantitative proteomic analysis.

Gonzalez-Galarza FF, Lawless C, Hubbard SJ, Fan J, Bessant C, Hermjakob H, Jones AR.

OMICS. 2012 Sep;16(9):431-42. doi: 10.1089/omi.2012.0022. Epub 2012 Jul 17.

16.

The mzIdentML data standard for mass spectrometry-based proteomics results.

Jones AR, Eisenacher M, Mayer G, Kohlbacher O, Siepen J, Hubbard SJ, Selley JN, Searle BC, Shofstahl J, Seymour SL, Julian R, Binz PA, Deutsch EW, Hermjakob H, Reisinger F, Griss J, VizcaĆ­no JA, Chambers M, Pizarro A, Creasy D.

Mol Cell Proteomics. 2012 Jul;11(7):M111.014381. doi: 10.1074/mcp.M111.014381. Epub 2012 Feb 27.

17.

CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approaches.

Eyers CE, Lawless C, Wedge DC, Lau KW, Gaskell SJ, Hubbard SJ.

Mol Cell Proteomics. 2011 Nov;10(11):M110.003384. doi: 10.1074/mcp.M110.003384. Epub 2011 Aug 3.

18.

Global absolute quantification of a proteome: Challenges in the deployment of a QconCAT strategy.

Brownridge P, Holman SW, Gaskell SJ, Grant CM, Harman VM, Hubbard SJ, Lanthaler K, Lawless C, O'Cualain R, Sims P, Watkins R, Beynon RJ.

Proteomics. 2011 Aug;11(15):2957-70. doi: 10.1002/pmic.201100039. Epub 2011 Jun 28. Review.

PMID:
21710569
19.

FDRAnalysis: a tool for the integrated analysis of tandem mass spectrometry identification results from multiple search engines.

Wedge DC, Krishna R, Blackhurst P, Siepen JA, Jones AR, Hubbard SJ.

J Proteome Res. 2011 Apr 1;10(4):2088-94. doi: 10.1021/pr101157s. Epub 2011 Feb 21.

20.

Distributions of ion series in ETD and CID spectra: making a comparison.

Hart SR, Lau KW, Gaskell SJ, Hubbard SJ.

Methods Mol Biol. 2011;696:327-37. doi: 10.1007/978-1-60761-987-1_21.

PMID:
21063958
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