Refactoring transcription factors for metabolic engineering

C Deng, Y Wu, X Lv, J Li, Y Liu, G Du, J Chen… - Biotechnology …, 2022 - Elsevier
Due to the ability to regulate target metabolic pathways globally and dynamically, metabolic
regulation systems composed of transcription factors have been widely used in metabolic …

Machine learning: its challenges and opportunities in plant system biology

M Hesami, M Alizadeh, AMP Jones… - Applied Microbiology and …, 2022 - Springer
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …

FoodOmics as a promising strategy to study the effects of sourdough on human health and nutrition, as well as product quality and safety; back to the future

A Sadeghi, M Ebrahimi, F Ha**ia, MS Kharazmi… - Trends in Food Science …, 2023 - Elsevier
Background Investigating the correlation between sourdough (SD) as an ancient
fermentation technology and high-throughput meta-omics strategies like foodOmics is …

Bacterial single-cell RNA sequencing captures biofilm transcriptional heterogeneity and differential responses to immune pressure

LE Korshoj, T Kielian - Nature Communications, 2024 - nature.com
Biofilm formation is an important mechanism of survival and persistence for many bacterial
pathogens. These multicellular communities contain subpopulations of cells that display …

[HTML][HTML] Mechanisms and biotechnological applications of transcription factors

H He, M Yang, S Li, G Zhang, Z Ding, L Zhang… - Synthetic and systems …, 2023 - Elsevier
Transcription factors play an indispensable role in maintaining cellular viability and finely
regulating complex internal metabolic networks. These crucial bioactive functions rely on …

Synergistic investigation of natural and synthetic C1-trophic microorganisms to foster a circular carbon economy

E Orsi, PI Nikel, LK Nielsen, S Donati - Nature Communications, 2023 - nature.com
A true circular carbon economy must upgrade waste greenhouse gases. C1-based
biomanufacturing is an attractive solution, in which one carbon (C1) molecules (eg CO2 …

Machine-learning from Pseudomonas putida KT2440 transcriptomes reveals its transcriptional regulatory network

HG Lim, K Rychel, AV Sastry, GJ Bentley, J Mueller… - Metabolic …, 2022 - Elsevier
Bacterial gene expression is orchestrated by numerous transcription factors (TFs).
Elucidating how gene expression is regulated is fundamental to understanding bacterial …

Genomic footprinting uncovers global transcription factor responses to amino acids in Escherichia coli

J Trouillon, PF Doubleday, U Sauer - Cell Systems, 2023 - cell.com
Our knowledge of transcriptional responses to changes in nutrient availability comes
primarily from few well-studied transcription factors (TFs), often lacking an unbiased genome …

Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome

K Rychel, AV Sastry, BO Palsson - Nature communications, 2020 - nature.com
The transcriptional regulatory network (TRN) of Bacillus subtilis coordinates cellular
functions of fundamental interest, including metabolism, biofilm formation, and sporulation …

[HTML][HTML] Advancing the scale of synthetic biology via cross-species transfer of cellular functions enabled by iModulon engraftment

D Choe, CA Olson, R Szubin, H Yang, J Sung… - Nature …, 2024 - nature.com
Abstract Machine learning applied to large compendia of transcriptomic data has enabled
the decomposition of bacterial transcriptomes to identify independently modulated sets of …