Indiana University

About: Indiana University is a education organization based out in Bloomington, Indiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 64480 authors who have published 150058 publications receiving 6392902 citations. The organization is also known as: Indiana University system & indiana.edu.

A Map of the Interactome Network of the Metazoan C. elegans

Abstract: To initiate studies on how protein-protein interaction (or "interactome") networks relate to multicellular functions, we have mapped a large fraction of the Caenorhabditis elegans interactome network. Starting with a subset of metazoan-specific proteins, more than 4000 interactions were identified from high-throughput, yeast two-hybrid (HT=Y2H) screens. Independent coaffinity purification assays experimentally validated the overall quality of this Y2H data set. Together with already described Y2H interactions and interologs predicted in silico, the current version of the Worm Interactome (WI5) map contains approximately 5500 interactions. Topological and biological features of this interactome network, as well as its integration with phenome and transcriptome data sets, lead to numerous biological hypotheses.

Prognostic relevance of integrated genetic profiling in acute myeloid leukemia

Abstract: We identified at least one somatic alteration in 97.3% of the patients. We found that internal tandem duplication in FLT3 (FLT3-ITD), partial tandem duplication in MLL (MLL-PTD), and mutations in ASXL1 and PHF6 were associated with reduced overall survival (P = 0.001 for FLT3-ITD, P = 0.009 for MLL-PTD, P = 0.05 for ASXL1, and P = 0.006 for PHF6); CEBPA and IDH2 mutations were associated with improved overall survival (P = 0.05 for CEBPA and P = 0.01 for IDH2). The favorable effect of NPM1 mutations was restricted to patients with co-occurring NPM1 and IDH1 or IDH2 mutations. We identified genetic predictors of outcome that improved risk stratification among patients with AML, independently of age, white-cell count, induction dose, and post-remission therapy, and validated the significance of these predictors in an independent cohort. High-dose daunorubicin, as compared with standarddose daunorubicin, improved the rate of survival among patients with DNMT3A or NPM1 mutations or MLL translocations (P = 0.001) but not among patients with wild-type DNMT3A, NPM1, and MLL (P = 0.67). Conclusions We found that DNMT3A and NPM1 mutations and MLL translocations predicted an improved outcome with high-dose induction chemotherapy in patients with AML. These findings suggest that mutational profiling could potentially be used for risk stratification and to inform prognostic and therapeutic decisions regarding patients with AML. (Funded by the National Cancer Institute and others.)

Predicting human resting-state functional connectivity from structural connectivity

Abstract: In the cerebral cortex, the activity levels of neuronal populationsare continuously fluctuating. When neuronal activity, as measuredusing functional MRI (fMRI), is temporally coherent across 2 pop-ulations, those populations are said to be functionally connected.Functional connectivity has previously been shown to correlatewith structural (anatomical) connectivity patterns at an aggregatelevel. In the present study we investigate, with the aid of compu-tational modeling, whether systems-level properties of functionalnetworks—including their spatial statistics and their persistenceacross time—can be accounted for by properties of the underlyinganatomical network. We measured resting state functional con-nectivity (using fMRI) and structural connectivity (using diffusionspectrum imaging tractography) in the same individuals at highresolution. Structural connectivity then provided the couplings fora model of macroscopic cortical dynamics. In both model and data,weobserved(

Number of Directors and Financial Performance: A Meta-Analysis

Abstract: Although a host of theory-driven rationales suggest a relationship between board of directors size and firm performance, the literature provides no consensus about the direction of that relationship. A meta-analysis of 131 samples (N = 20,620) provided systematic evidence of nonzero, positive, true population estimates of board size-performance relationships.