Microfluidics for biotechnology: bridging gaps to foster microfluidic applications
V Ortseifen, M Viefhues, L Wobbe… - … in Bioengineering and …, 2020 - frontiersin.org
Microfluidics and novel lab-on-a-chip applications have the potential to boost
biotechnological research in ways that are not possible using traditional methods. Although …
biotechnological research in ways that are not possible using traditional methods. Although …
The roles of nucleoid-associated proteins and topoisomerases in chromosome structure, strand segregation, and the generation of phenotypic heterogeneity in …
V Norris, C Kayser, G Muskhelishvili… - FEMS Microbiology …, 2023 - academic.oup.com
How to adapt to a changing environment is a fundamental, recurrent problem confronting
cells. One solution is for cells to organize their constituents into a limited number of spatially …
cells. One solution is for cells to organize their constituents into a limited number of spatially …
Deep learning automates the quantitative analysis of individual cells in live-cell imaging experiments
Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays
in dynamic, living systems. A major critical challenge for this class of experiments is the …
in dynamic, living systems. A major critical challenge for this class of experiments is the …
Rapid quantification of mutant fitness in diverse bacteria by sequencing randomly bar-coded transposons
KM Wetmore, MN Price, RJ Waters, JS Lamson, J He… - MBio, 2015 - Am Soc Microbiol
Transposon mutagenesis with next-generation sequencing (TnSeq) is a powerful approach
to annotate gene function in bacteria, but existing protocols for TnSeq require laborious …
to annotate gene function in bacteria, but existing protocols for TnSeq require laborious …
A global resource allocation strategy governs growth transition kinetics of Escherichia coli
DW Erickson, SJ Schink, V Patsalo, JR Williamson… - Nature, 2017 - nature.com
A grand challenge of systems biology is to predict the kinetic responses of living systems to
perturbations starting from the underlying molecular interactions. Changes in the nutrient …
perturbations starting from the underlying molecular interactions. Changes in the nutrient …
Bet-hedging during bacterial diauxic shift
A Solopova, J Van Gestel… - Proceedings of the …, 2014 - National Acad Sciences
When bacteria grow in a medium with two sugars, they first use the preferred sugar and only
then start metabolizing the second one. After the first exponential growth phase, a short lag …
then start metabolizing the second one. After the first exponential growth phase, a short lag …
Memory and fitness optimization of bacteria under fluctuating environments
G Lambert, E Kussell - PLoS genetics, 2014 - journals.plos.org
Bacteria prudently regulate their metabolic phenotypes by sensing the availability of specific
nutrients, expressing the required genes for their metabolism, and repressing them after …
nutrients, expressing the required genes for their metabolism, and repressing them after …
Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software
Much is still not understood about how gene regulatory interactions control cell fate
decisions in single cells, in part due to the difficulty of directly observing gene regulatory …
decisions in single cells, in part due to the difficulty of directly observing gene regulatory …
The lag-phase during diauxic growth is a trade-off between fast adaptation and high growth rate
Bi-phasic or diauxic growth is often observed when microbes are grown in a chemically
defined medium containing two sugars (for example glucose and lactose). Typically, the two …
defined medium containing two sugars (for example glucose and lactose). Typically, the two …
The volumes and transcript counts of single cells reveal concentration homeostasis and capture biological noise
H Kempe, A Schwabe, F Crémazy… - Molecular biology of …, 2015 - Am Soc Cell Biol
Transcriptional stochasticity can be measured by counting the number of mRNA molecules
per cell. Cell-to-cell variability is best captured in terms of concentration rather than molecule …
per cell. Cell-to-cell variability is best captured in terms of concentration rather than molecule …