Distribution of the core histones H2A.H2B.H3 and H4 during cell replication.

The distribution of newly synthesized core histones H2A, H2B, H3 and H4 relative to the DNA strand synthesized in the same generation has been examined in replicating Chinese Hamster ovary cells. Cells are grown for one generation in [14C]-lysine and thymidine, and then for one generation in [3H]-lysine and 5-bromodeoxyuridine (BrUdRib) and a further generation in unlabeled lysine and thymidine. This protocol produces equal amounts of unifilarly substituted and unsubstituted DNA. Monomer nucleosomes isolated from chromatin containing these two types of DNA can be distinguished by crosslinking with formaldehyde and banding to equilibrium in CsCl density gradients. The results indicate that the core histones are equally distributed between the two types of DNA. These findings are discussed in terms of current models for chromatin replication; they do not support any long term association of newly replicated histones with either the leading or lagging side of the replication fork.     

H. influenzae Consortium: integrative study of H. influenzae-human interactions

Developments in high-throughput analysis tools coupled with integrative computational techniques have enabled biological studies to reach new levels. The ability to correlate large volumes of diverse data types into cohesive models of organism function has spawned a new systematic approach to biological investigation. The creation of a new consortium has been proposed to investigate a single organism utilizing these comprehensive approaches. The Haemophilus influenzae Consortium (HIC) would be comprised of five laboratories, each providing separate and complementary areas of expertise in the study of Haemophilus influenzae (HI). The 5-year study proposes to develop coherent models of HI, both as a stand-alone organism, and more importantly, as a human pathogen. Studies in growth condition specificity followed by genomic, metabolic, and proteomic experimentation will be combined and integrated through computational and experimental analyses to form dynamic and predictive models of HI and its responses. Data from the HIC will allow greater understanding of cellular behavior, pathogen-host interactions, bacterial infection, and provide future scientific endeavors with a template for studies of other pathogens.     

A Primer of Ecology with R by STEVENS,M. H. H.

A Primer of Ecology with R (M. H. H. Stevens) Péter Sólymos Handbook on Analyzing Human Genetic Data: Computational Approaches and Software (S. Lin and H. Zhao, Editors) Peter M. Visscher From Finite Sample to Asymptotic Methods in Statistics (P. K. Sen, J. M. Singer, and A. C. Pedroso de Lima) Miodrag Lovric Dynamic Linear Models with R (G. Petris, S. Petrone, and P. Campagnoli) Helio S. Migon Functional Data Analysis with R and Matlab (J. O. Ramsay, G. Hooker, and S. Graves) Hervé Cardot Continuous Bivariate Distributions, 2nd edition (N. Balakrishnan and C.‐D. Lai) Márcia D'Elia Branco Brief Reports by the Editor The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edition. (T. Hastie, R. Tibshirani, and J. Friedman) Gene Expression Studies Using Affymetrix Microarrays (H. Göhlmann and W. Talloen)