Results 61 to 70 of about 8,545,689 (298)

A novel approach GRNTSTE to reconstruct gene regulatory interactions applied to a case study for rat pineal rhythm gene

Scientific Reports, 2022
Accurate inference and prediction of gene regulatory network are very important for understanding dynamic cellular processes. The large-scale time series genomics data are helpful to reveal the molecular dynamics and dynamic biological processes of ...
Zhenyu Liu, Jing Gao, Tao Li, Yi Jing, Cheng Xu, Zhengtong Zhu, Dongshi Zuo, Junjie Chen   +7 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

A local regulatory network around three NAC transcription factors in stress responses and senescence in Arabidopsis leaves [PDF]

, 2013
A model is presented describing the gene regulatory network surrounding three similar NAC transcription factors that have roles in Arabidopsis leaf senescence and stress responses. ANAC019, ANAC055 and ANAC072 belong to the same clade of NAC domain genes
Cooke, Emma J., Jonathan D. Moore, Laura Bowden, Katherine J. Denby, Hickman, Richard J., Beynon, Jim, Richard Hickman, Findlay Bewicke‐Copley, David L. Wild, Vicky Buchanan‐Wollaston, Jim Beynon, Jackson, Alison C., Denby, Katherine J., Mead, A. (Andrew), Penfold, Christopher A., Bowden, Laura, Andrew Mead, Wild, David L., Christopher A. Penfold, Moore, Jonathan D., Emily Breeze, Breeze, Emily, Alison Jackson, Sascha Ott, Buchanan-Wollaston, Vicky, Peijun Zhang, Emma Cooke, Hill, C., Zhang, Peijun, Bewicke-Copley, Findlay, Claire Hill, Ott, Sascha, Moore, J.D., Bewick-Copley, F., Wild, D.L., Jackson, A., Bowden, L., Ott, S., Breeze, E., Cooke, E., Zhang, P., Penfold, C.A., Buchanan-Wollaston, V., Hickman, R., Mead, A., Beynon, J., Denby, K.J.   +46 more
core   +1 more source

Improving the Inference of Gene Expression Regulatory Networks with Data Aggregation Approach

مجله انفورماتیک سلامت و زیست پزشکی, 2020
Introduction: The major issue for the future of bioinformatics is the design of tools to determine the functions and all products of single-cell genes.
Atefeh Naseri, Seyed Mohammad Hossein Hasheminejad, Mehran Sharghi   +2 more
doaj  

Effects of Time Point Measurement on the Reconstruction of Gene Regulatory Networks

Molecules, 2010
With the availability of high-throughput gene expression data in the post-genomic era, reconstruction of gene regulatory networks has become a hot topic.
Bairong Shen, Yuanyuan Zhang, Jiajia Chen, Yang Yang, Huangqiong Zhu, Wenying Yan   +5 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Reverse engineering gene regulatory networks [PDF]

IEEE Signal Processing Magazine, 2009
Statistical models for reverse engineering gene regulatory networks are surveyed in this article. To provide readers with a system-level view of the modeling issues in this research, a graphical modeling framework is proposed. This framework serves as the scaffolding on which the review of different models can be systematically assembled.
Yufei Huang 0001, Isabel M. Tienda-Luna, Yufeng Wang 0002   +2 more
openaire   +2 more sources

Statistical inference of regulatory networks for circadian regulation [PDF]

, 2014
The work described in the present article is part of the TiMet project on linking the circadian clock to metabolism in plants. TiMet is a collaborative project (Grant Agreement 245143) funded by the European Commission FP7, in response to call FP7-KBBE ...
Aderhold, Andrej, Husmeier, Dirk, Grzegorczyk, Marco   +2 more
core   +1 more source

Stable Gene Regulatory Network Modeling From Steady-State Data

Bioengineering, 2016
Gene regulatory networks represent an abstract mapping of gene regulations in living cells. They aim to capture dependencies among molecular entities such as transcription factors, proteins and metabolites.
Joy Edward Larvie, Mohammad Gorji Sefidmazgi, Abdollah Homaifar, Scott H. Harrison, Ali Karimoddini, Anthony Guiseppi-Elie   +5 more
doaj   +1 more source