Literature DB >> 23577771

Counting small RNA in pathogenic bacteria.

Douglas P Shepherd1, Nan Li, Sofiya N Micheva-Viteva, Brian Munsky, Elizabeth Hong-Geller, James H Werner.   

Abstract

Here, we present a modification to single-molecule fluorescence in situ hybridization that enables quantitative detection and analysis of small RNA (sRNA) expressed in bacteria. We show that short (~200 nucleotide) nucleic acid targets can be detected when the background of unbound singly dye-labeled DNA oligomers is reduced through hybridization with a set of complementary DNA oligomers labeled with a fluorescence quencher. By neutralizing the fluorescence from unbound probes, we were able to significantly reduce the number of false positives, allowing for accurate quantification of sRNA levels. Exploiting an automated, mutli-color wide-field microscope and data analysis package, we analyzed the statistics of sRNA expression in thousands of individual bacteria. We found that only a small fraction of either Yersinia pseudotuberculosis or Yersinia pestis bacteria express the small RNAs YSR35 or YSP8, with the copy number typically between 0 and 10 transcripts. The numbers of these RNA are both increased (by a factor of 2.5× for YSR35 and 3.5× for YSP8) upon a temperature shift from 25 to 37 °C, suggesting they play a role in pathogenesis. The copy number distribution of sRNAs from bacteria-to-bacteria are well-fit with a bursting model of gene transcription. The ability to directly quantify expression level changes of sRNA in single cells as a function of external stimuli provides key information on the role of sRNA in cellular regulatory networks.

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Year:  2013        PMID: 23577771     DOI: 10.1021/ac303792p

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  15 in total

Review 1.  Single molecule fluorescence approaches shed light on intracellular RNAs.

Authors:  Sethuramasundaram Pitchiaya; Laurie A Heinicke; Thomas C Custer; Nils G Walter
Journal:  Chem Rev       Date:  2014-01-08       Impact factor: 60.622

Review 2.  Bacterial Vivisection: How Fluorescence-Based Imaging Techniques Shed a Light on the Inner Workings of Bacteria.

Authors:  Alexander Cambré; Abram Aertsen
Journal:  Microbiol Mol Biol Rev       Date:  2020-10-28       Impact factor: 11.056

3.  Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models.

Authors:  Huy D Vo; Zachary Fox; Ania Baetica; Brian Munsky
Journal:  J Phys Chem B       Date:  2019-03-05       Impact factor: 2.991

Review 4.  Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics.

Authors:  Brian Munsky; Zachary Fox; Gregor Neuert
Journal:  Methods       Date:  2015-06-12       Impact factor: 3.608

5.  Nucleoid and cytoplasmic localization of small RNAs in Escherichia coli.

Authors:  Huanjie Sheng; Weston T Stauffer; Razika Hussein; Chris Lin; Han N Lim
Journal:  Nucleic Acids Res       Date:  2017-03-17       Impact factor: 16.971

Review 6.  Use of siRNA molecular beacons to detect and attenuate mycobacterial infection in macrophages.

Authors:  Remo George; Renata Cavalcante; Celso Carvalho; Elyana Marques; Jonathan B Waugh; M Tino Unlap
Journal:  World J Exp Med       Date:  2015-08-20

Review 7.  Small RNA-mediated regulation of host-pathogen interactions.

Authors:  Jennifer F Harris; Sofiya Micheva-Viteva; Nan Li; Elizabeth Hong-Geller
Journal:  Virulence       Date:  2013-08-19       Impact factor: 5.882

8.  Visualization and modeling of inhibition of IL-1β and TNF-α mRNA transcription at the single-cell level.

Authors:  Daniel Kalb; Huy D Vo; Samantha Adikari; Elizabeth Hong-Geller; Brian Munsky; James Werner
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379

Review 9.  Yersinia pestis and Yersinia pseudotuberculosis infection: a regulatory RNA perspective.

Authors:  Luary C Martínez-Chavarría; Viveka Vadyvaloo
Journal:  Front Microbiol       Date:  2015-09-17       Impact factor: 5.640

10.  Differential expression of small RNAs from Burkholderia thailandensis in response to varying environmental and stress conditions.

Authors:  Chris J Stubben; Sofiya N Micheva-Viteva; Yulin Shou; Sarah K Buddenborg; John M Dunbar; Elizabeth Hong-Geller
Journal:  BMC Genomics       Date:  2014-05-19       Impact factor: 3.969

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