An integrative approach for building personalized gene regulatory networks for precision medicine

MGP Van Der Wijst, DH de Vries, H Brugge… - Genome medicine, 2018 - Springer
Only a small fraction of patients respond to the drug prescribed to treat their disease, which
means that most are at risk of unnecessary exposure to side effects through ineffective …

Only a matter of time: The impact of daily and seasonal rhythms on phytochemicals

DJ Liebelt, JT Jordan, CJ Doherty - Phytochemistry Reviews, 2019 - Springer
Plants regulate molecular bioactivity in response to daily and seasonal environmental
fluctuations in temperature, light, humidity, and precipitation. These rhythms interconnect …

Warm nights disrupt transcriptome rhythms in field-grown rice panicles

JS Desai, LMF Lawas, AM Valente… - Proceedings of the …, 2021 - National Acad Sciences
In rice, a small increase in nighttime temperature reduces grain yield and quality. How warm
nighttime temperatures (WNT) produce these detrimental effects is not well understood …

Statistical and machine learning approaches to predict gene regulatory networks from transcriptome datasets

K Mochida, S Koda, K Inoue, R Nishii - Frontiers in Plant Science, 2018 - frontiersin.org
Statistical and machine learning (ML)-based methods have recently advanced in
construction of gene regulatory network (GRNs) based on high-throughput biological …

Computational prediction of gene regulatory networks in plant growth and development

S Haque, JS Ahmad, NM Clark, CM Williams… - Current opinion in plant …, 2019 - Elsevier
Highlights•GRNs represent causal relationships among regulators and their downstream
genes.•Biological hypothesis drives data collection and the subsequent inferred …

Time-based systems biology approaches to capture and model dynamic gene regulatory networks

JM Alvarez, MD Brooks, J Swift… - Annual Review of Plant …, 2021 - annualreviews.org
All aspects of transcription and its regulation involve dynamic events. However, capturing
these dynamic events in gene regulatory networks (GRNs) offers both a promise and a …

The biology of time: dynamic responses of cell types to developmental, circadian and environmental cues

J Swift, K Greenham, JR Ecker, GM Coruzzi… - The Plant …, 2022 - Wiley Online Library
As sessile organisms, plants are finely tuned to respond dynamically to developmental,
circadian and environmental cues. Genome‐wide studies investigating these types of cues …

Prediction of condition-specific regulatory genes using machine learning

Q Song, J Lee, S Akter, M Rogers… - Nucleic Acids …, 2020 - academic.oup.com
Recent advances in genomic technologies have generated data on large-scale protein–
DNA interactions and open chromatin regions for many eukaryotic species. How to identify …

Unleashing the power within short-read RNA-seq for plant research: Beyond differential expression analysis and toward regulomics

M Tu, J Zeng, J Zhang, G Fan, G Song - Frontiers in Plant Science, 2022 - frontiersin.org
RNA-seq has become a state-of-the-art technique for transcriptomic studies. Advances in
both RNA-seq techniques and the corresponding analysis tools and pipelines have …

Systems biology approaches towards predictive microbial ecology

AE Otwell, A López García de Lomana… - Environmental …, 2018 - Wiley Online Library
Through complex interspecies interactions, microbial processes drive nutrient cycling and
biogeochemistry. However, we still struggle to predict specifically which organisms …