imaging

Parameterization of a Stochastic Model of Gene Expression from Adaptive Imaging Cytometry Data

Parameterization of a Stochastic Model of Gene Expression from Adaptive Imaging Cytometry Data

Supplementary material to a manuscript under review. The manuscript can be downloaded from the link below. 

Abstract

Recent decades have yielded an understanding of cellular behavior as arising from a complicated soup of noisy molecular interactions. Systems biologists [...]

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545
DLs

GenoSIGHT paper is published in PLoS ONE

After several years of incubation and internal validation, we are pleased to announce the publication of an article describing GenoSIGHT, an adaptive cytometry system, developed with a grant from the National Science Foundation (NSF Award#0963988).  GenoSIGHT is an “intelligent” system...

Adaptive Imaging Cytometry

Adaptive Imaging Cytometry

The use of microfluidics in live cell imaging allows the acquisition of dense time-series from individual cells that can be perturbed through computer-controlled changes of growth medium. Systems and synthetic biologists frequently perform gene expression studies that require changes in...

Publishing preprint on adaptive imaging cytometry using Figshare

Today we submitted to PLoS ONE a manuscript entitled “Adaptive imaging cytometry to estimate parameters of gene networks models in systems and synthetic biology“. The journal has a new data sharing policy that encourages authors to deposit data in a...

Adaptive imaging cytometry to estimate parameters of gene networks models in systems and synthetic biology

Adaptive imaging cytometry to estimate parameters of gene networks models in systems and synthetic biology

Supplementary material to a manuscript under review. The manuscript can be downloaded from the link below. 

Abstract

Recent decades have yielded an understanding of cellular behavior as arising from a complicated soup of noisy molecular interactions. Systems biologists [...]

407
Views
545
DLs

Measurement of transcriptional noise in the cell cycle regulatory network

Measurement of transcriptional noise in the cell cycle regulatory network

These are the raw images collected to analyze the noise affecting transcription in the control of the cell cycle in yeast. 

388
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928
DLs

This data set is almost complete. We are still working on uploading the NET1 and SIC1 data.

Measurements modeling transcription noise makes the cover of Cell Cycle

The October issue of Cell Cycle includes an article reporting our efforts to measure and model the transcriptional noise affecting the the regulatory network controlling the cell cycle in the baker yeast (Saccharomyces cerevisiae). The journal cover page features an...

Stochastic exit from mitosis in budding yeast: model predictions and experimental observations

Stochastic exit from mitosis in budding yeast: model predictions and experimental observations

Unlike many mutants that are completely viable or inviable, the CLB2-dbΔ clb5Δ mutant of Saccharomyces cerevisiae is inviable in glucose but partially viable on slower growth media such as raffinose. On raffinose, the mutant cells can bud and divide but...

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