We develop several methods to improve the estimation of metabolite concentrations and accumulation fluxes from noisy time-course data, including use of a sigmoidal impulse function and a resampling-based approach.
While cell-to-cell variability is a phenotypic consequence of gene expression noise, sources of this noise may be complex – apart from intrinsic sources such as the random birth/death of mRNA and stochastic switching between promoter states, there are also extrinsic sources of noise such as cell division where division times are either constant or random.
Our data give information on the necessity of different reference ranges of blood metabolites for male and female neonates and the importance of including sex as a variable in future investigations of circulating metabolites.
Dafei Xie, Lu Han, Yifu Luo, Yang Liu, Song He, Hui Bai, Shengqi Wang and Xiaochen Bo
Mol. BioSyst., 2015, 11, 2511-2519
Genome-wide RNA interference screens have greatly facilitated the identification of essential host factors (EHFs) for viral infections, whose knockdown effects significantly influence virus replication but not host cell viability.
Lakshmi Dhevi N. Selvan, Sreelakshmi K. Sreenivasamurthy, Satwant Kumar, Soujanya D. Yelamanchi, Anil K. Madugundu, Abhijith K. Anil, Santosh Renuse, Bipin G. Nair, Harsha Gowda, Premendu P. Mathur, Parthasarathy Satishchandra, S. K. Shankar, Anita Mahadevan and T. S. Keshava Prasad
Mol. BioSyst., 2015, 11, 2529-2540
Brain proteome profile of cryptococcal meningitis co-infected with HIV.