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Series GSE123437 Query DataSets for GSE123437
Status Public on Mar 11, 2019
Title Redefining the sRNA transcriptome of Streptococcus pneumoniae serotype 2 strain D39
Organism Streptococcus pneumoniae D39
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary Streptococcus pneumoniae (pneumococcus) is a major human respiratory pathogen and the leading cause of bacterial pneumonia worldwide. Small regulatory RNAs (sRNAs), which often act by post-transcriptionally regulating gene expression, have been shown to be crucial for the virulence of S. pneumoniae and other bacterial pathogens. Over 170 putative sRNAs have been identified in S. pneumoniae TIGR4 strain (serotype 4) through transcriptomic studies, and a subset of these sRNAs have been further implicated in regulating pneumococcal pathogenesis. However, there was little overlap in the sRNAs identified among these studies, which indicated that the approaches used for sRNA identification were not sufficiently sensitive and robust and that there were likely many more undiscovered sRNAs encoded in the S. pneumoniae genome. Here, we sought to comprehensively identify sRNAs in Avery's virulent S. pneumoniae strain D39 using two independent RNA-seq based approaches. We developed an unbiased method for identifying novel sRNAs from bacterial RNA-seq data and have further tested the specificity of our analysis program towards identifying sRNAs encoded by both strains D39 and TIGR4. Interestingly, the genes for 15% of the putative sRNAs identified in strain TIGR4 including ones previously implicated in virulence were not present in strain D39 genome suggesting that the differences in sRNA repertoires between these two serotypes may contribute to their strain-specific virulence properties. Finally, this study has identified 67 new sRNA candidates in strain D39, 28 out of which have been further validated, raising the total number of sRNAs that have been identified in strain D39 to 112.
 
Overall design 6 samples;
 
Contributor(s) De Lay NR
Citation(s) 30833353, 34544281
Submission date Dec 06, 2018
Last update date Nov 10, 2021
Contact name Nicholas De Lay
E-mail(s) nicholas.r.delay@uth.tmc.edu
Phone 713-500-6293
Organization name University of Texas Health Science Center
Department Microbiology and Molecular Genetics
Street address 6431 Fannin St
City Houston
State/province Texas
ZIP/Postal code 77030
Country USA
 
Platforms (1)
GPL25906 Illumina HiSeq 2000 (Streptococcus pneumoniae D39)
Samples (6)
GSM3503256 IU1781 WT-TEX-1
GSM3503257 IU1781 WT-TEX-2
GSM3503258 IU1781 WT-TEX-3
Relations
BioProject PRJNA508755
SRA SRP172746

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Supplementary file Size Download File type/resource
GSE123437_RAW.tar 12.1 Mb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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