High-depth RNA-Seq data sets to investigate the differences in gene expression mediated by phasevarions in non-typeable Haemophilus influenzae

被引：0

作者：

Atack, John M. ^{[1
,2
]}

Brockman, Kenneth L. ^{[3
]}

Bakaletz, Lauren O. ^{[4
,5
]}

Jennings, Michael P. ^{[1
]}

机构：

[1] Griffith Univ, Inst Glycom, Gold Coast, Qld, Australia

[2] Griffith Univ, Sch Environm & Sci, Gold Coast, Qld, Australia

[3] Med Coll Wisconsin, Dept Microbiol & Immunol, Milwaukee, WI USA

[4] Res Inst Nationwide Childrens Hosp, Ctr Microbial Pathogenesis, Columbus, OH USA

[5] Ohio State Univ Coll Med, Columbus, OH USA

来源：

MICROBIOLOGY RESOURCE ANNOUNCEMENTS | 2023年 / 12卷 / 12期

基金：

英国医学研究理事会; 澳大利亚研究理事会;

关键词：

NTHi; methyltransferase; phase variation; phasevarion;

D O I：

10.1128/MRA.00785-23

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

Non-typeable Haemophilus influenzae (NTHi) is a major bacterial pathogen of the human airway. We report high-depth coverage RNA-Seq data from prototype NTHi strains 723 and R2866, encoding two of the most common phase-variable ModA alleles found in NTHi strains, ModA2 and ModA10, respectively.

引用

页数：3

共 12 条

[1] High-Depth RNA-Seq Data Sets for Studying Gene Expression Changes Mediated by Phase-Variable DNA Methyltransferases in Nontypeable Haemophilus influenzae
Atack, John M.
Bakaletz, Lauren O.
Jennings, Michael P.
MICROBIOLOGY RESOURCE ANNOUNCEMENTS, 2019, 8 (02):
[2] Smoke Exposure Alters Non-Typeable Haemophilus Influenzae-Induced Innate Immune Gene Expression In Mucociliary Differentiated Bronchial Epithelial Cells
Amatngalim, G. D.
Henic, A.
Verhoosel, R. M.
Aarbiou, J.
Lekkerkerker, A. N.
Janssen, R. A. J.
Hiemstra, P. S.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2014, 189
[3] GENE-Counter: A Computational Pipeline for the Analysis of RNA-Seq Data for Gene Expression Differences
Cumbie, Jason S.
Kimbrel, Jeffrey A.
Di, Yanming
Schafer, Daniel W.
Wilhelm, Larry J.
Fox, Samuel E.
Sullivan, Christopher M.
Curzon, Aron D.
Carrington, James C.
Mockler, Todd C.
Chang, Jeff H.
PLOS ONE, 2011, 6 (10):
[4] Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
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Ignacio Rojo-Laguna, Jose
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Abril, Josep F.
BMC GENOMICS, 2015, 16
[5] Digital gene expression approach over multiple RNA-Seq data sets to detect neoblast transcriptional changes in Schmidtea mediterranea
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Alejandro González-Sastre
José Ignacio Rojo-Laguna
Emili Saló
Josep F Abril
BMC Genomics, 16
[6] A new local covariance matrix estimation for the classification of gene expression profiles in high dimensional RNA-Seq data
Kochan, Necla
Tutuncu, G. Yazgi
Giner, Goknur
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 167
[7] Reference genome and transcriptome informed by the sex chromosome complement of the sample increase ability to detect sex differences in gene expression from RNA-Seq data
Kimberly C. Olney
Sarah M. Brotman
Jocelyn P. Andrews
Valeria A. Valverde-Vesling
Melissa A. Wilson
Biology of Sex Differences, 11
[8] Reference genome and transcriptome informed by the sex chromosome complement of the sample increase ability to detect sex differences in gene expression from RNA-Seq data
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Brotman, Sarah M.
Andrews, Jocelyn P.
Valverde-Vesling, Valeria A.
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BIOLOGY OF SEX DIFFERENCES, 2020, 11 (01)
[9] Gene expression profiles and pathway enrichment analysis to identification of differentially expressed gene and signaling pathways in epithelial ovarian cancer based on high-throughput RNA-seq data
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Dookhe, E.
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GENOMICS, 2022, 114 (01) : 161 - 170
[10] Gene Expression in Embryos From Norwegian Red Bulls With High or Low Non Return Rate: An RNA-Seq Study of in vivo-Produced Single Embryos
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FRONTIERS IN GENETICS, 2022, 12

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