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Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells.

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TLDR
System-wide analyses of protein and mRNA expression in individual cells with single-molecule sensitivity using a newly constructed yellow fluorescent protein fusion library for Escherichia coli found that almost all protein number distributions can be described by the gamma distribution with two fitting parameters which, at low expression levels, have clear physical interpretations as the transcription rate and protein burst size.
Abstract
Protein and messenger RNA (mRNA) copy numbers vary from cell to cell in isogenic bacterial populations. However, these molecules often exist in low copy numbers and are difficult to detect in single cells. We carried out quantitative system-wide analyses of protein and mRNA expression in individual cells with single-molecule sensitivity using a newly constructed yellow fluorescent protein fusion library for Escherichia coli. We found that almost all protein number distributions can be described by the gamma distribution with two fitting parameters which, at low expression levels, have clear physical interpretations as the transcription rate and protein burst size. At high expression levels, the distributions are dominated by extrinsic noise. We found that a single cell's protein and mRNA copy numbers for any given gene are uncorrelated.

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Protein-to-mRNA Ratios Are Conserved between Pseudomonas aeruginosa Strains

TL;DR: This work systematically investigated the transcriptome and proteome of two closely related Pseudomonas aeruginosa strains, PAO1 and PA14, under identical experimental conditions, thus controlling for environmental effects and found that several metabolic, virulence, and antibiotic resistance genes are differentially expressed between the two strains.
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Preface.Pathogenesis of Mycobacterium tuberculosis and its interaction with the host organism.

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Mitochondria and the non-genetic origins of cell-to-cell variability: More is different

TL;DR: How differences in the mitochondrial content of each cell contribute to heterogeneity in gene products is discussed, which ultimately leads to phenotypic diversity.
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Noise in bacterial gene expression

TL;DR: Noise within gene expression is influenced by a combination of both intrinsic and extrinsic factors, and mechanistic understanding of this process at the molecular level is still rather limited.
References
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疟原虫var基因转换速率变化导致抗原变异[英]/Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

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TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
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Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection.

TL;DR: These mutants—the ‘Keio collection’—provide a new resource not only for systematic analyses of unknown gene functions and gene regulatory networks but also for genome‐wide testing of mutational effects in a common strain background, E. coli K‐12 BW25113.
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Stochastic Gene Expression in a Single Cell

TL;DR: This work constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated and reveals how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.
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Global analysis of protein localization in budding yeast

TL;DR: The construction and analysis of a collection of yeast strains expressing full-length, chromosomally tagged green fluorescent protein fusion proteins helps reveal the logic of transcriptional co-regulation, and provides a comprehensive view of interactions within and between organelles in eukaryotic cells.
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Fabrication of microfluidic systems in poly(dimethylsiloxane)

TL;DR: Fabrication of microfluidic devices in poly(dimethylsiloxane) (PDMS) by soft lithography provides faster, less expensive routes to devices that handle aqueous solutions.
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