Saturday, 28 January 2012

What's new for 'JKB_daily1' in PubMed

This message contains My NCBI what's new results from the National Center for Biotechnology Information (NCBI) at the U.S. National Library of Medicine (NLM).
Do not reply directly to this message.

Sender's message: Sepsis or genomics or altitude: JKB_daily1

Sent on Saturday, 2012 January 28
Search: (sepsis[MeSH Terms] OR septic shock[MeSH Terms] OR altitude[MeSH Terms] OR genomics[MeSH Terms] OR genetics[MeSH Terms] OR retrotransposons[MeSH Terms] OR macrophage[MeSH Terms]) AND ("2009/8/8"[Publication Date] : "3000"[Publication Date]) AND (("Science"[Journal] OR "Nature"[Journal] OR "The New England journal of medicine"[Journal] OR "Lancet"[Journal] OR "Nature genetics"[Journal] OR "Nature medicine"[Journal]) OR (Hume DA[Author] OR Baillie JK[Author] OR Faulkner, Geoffrey J[Author]))

Click here to view complete results in PubMed (Results may change over time.)
To unsubscribe from these e-mail updates click here.


PubMed Results
Items 1 - 4 of 4

1. Science. 2011 Dec 16;334(6062):1518-24.

Detecting novel associations in large data sets.

Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC.

Source

Department of Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. dnreshef@mit.edu

Abstract

Identifying interesting relationships between pairs of variables in large data sets is increasingly important. Here, we present a measure of dependence for two-variable relationships: the maximal information coefficient (MIC). MIC captures a wide range of associations both functional and not, and for functional relationships provides a score that roughly equals the coefficient of determination (R(2)) of the data relative to the regression function. MIC belongs to a larger class of maximal information-based nonparametric exploration (MINE) statistics for identifying and classifying relationships. We apply MIC and MINE to data sets in global health, gene expression, major-league baseball, and the human gut microbiota and identify known and novel relationships.

PMID:
22174245
[PubMed - indexed for MEDLINE]
Related citations
Click here to read

2. Science. 2011 Dec 16;334(6062):1487.

Genetics. China bets on the variome to uncover hereditary diseases.

Hvistendahl M.
PMID:
22174225
[PubMed - indexed for MEDLINE]
Related citations
Click here to read

3. Lancet. 2011 Nov 26;378(9806):1838.

Genomic future beckons for cancer management.

Qadir Z.
PMID:
22125803
[PubMed - indexed for MEDLINE]
Related citations
4. Science. 2011 Dec 16;334(6062):1553-7. Epub 2011 Nov 17.

Host proteasomal degradation generates amino acids essential for intracellular bacterial growth.

Price CT, Al-Quadan T, Santic M, Rosenshine I, Abu Kwaik Y.

Source

Department of Microbiology and Immunology, College of Medicine, University of Louisville, KY 40202, USA.

Abstract

Legionella pneumophila proliferates in environmental amoeba and human cells within the Legionella-containing vacuole (LCV). The exported AnkB F-box effector of L. pneumophila is anchored into the LCV membrane by host-mediated farnesylation. Here, we report that host proteasomal degradation of Lys(48)-linked polyubiquitinated proteins, assembled on the LCV by AnkB, generates amino acids required for intracellular bacterial proliferation. The severe defect of the ankB null mutant in proliferation within amoeba and human cells is rescued by supplementation of a mixture of amino acids or cysteine, serine, pyruvate, or citrate, similar to rescue by genetic complementation. Defect of the ankB mutant in intrapulmonary proliferation in mice is rescued upon injection of a mixture of amino acids or cysteine. Therefore, Legionella promotes eukaryotic proteasomal degradation to generate amino acids needed as carbon and energy sources for bacterial proliferation within evolutionarily distant hosts.

PMID:
22096100
[PubMed - indexed for MEDLINE]
Related citations
Click here to read

0 Comments:

Post a Comment

Subscribe to Post Comments [Atom]

<< Home