Cell Biology & Molecular Genetics
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Item Loss of rpoE Encoding the δ-Factor of RNA Polymerase Impacts Pathophysiology of the Streptococcus pyogenes M1T1 Strain 5448(MDPI, 2022-08-22) Rom, Joseph S.; Le Breton, Yoann; Islam, Emrul; Belew, Ashton T.; El-Sayed, Najib M.; McIver, Kevin S.Streptococcus pyogenes, also known as the Group A Streptococcus (GAS), is a Gram-positive bacterial pathogen of major clinical significance. Despite remaining relatively susceptible to conventional antimicrobial therapeutics, GAS still causes millions of infections and hundreds of thousands of deaths each year worldwide. Thus, a need for prophylactic and therapeutic interventions for GAS is in great demand. In this study, we investigated the importance of the gene encoding the delta (δ) subunit of the GAS RNA polymerase, rpoE, for its impact on virulence during skin and soft-tissue infection. A defined 5448 mutant with an insertionally-inactivated rpoE gene was defective for survival in whole human blood and was attenuated for both disseminated lethality and lesion size upon mono-culture infection in mouse soft tissue. Furthermore, the mutant had reduced competitive fitness when co-infected with wild type (WT) 5448 in the mouse model. We were unable to attribute this attenuation to any observable growth defect, although colony size and the ability to grow at higher temperatures were both affected when grown with nutrient-rich THY media. RNA-seq of GAS grown in THY to late log phase found that mutation of rpoE significantly impacted (>2-fold) the expression of 429 total genes (205 upregulated, 224 downregulated), including multiple virulence and “housekeeping” genes. The arc operon encoding the arginine deiminase (ADI) pathway was the most upregulated in the rpoE mutant and this could be confirmed phenotypically. Taken together, these findings demonstrate that the delta (δ) subunit of RNA polymerase is vital in GAS gene expression and virulence.Item Investigation of progerin expression in non-Hutchinson-Gilford Progeria Syndrome individuals(2023) Yu, Reynold; Cao, Kan; Mount, Steve; Molecular and Cell Biology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Hutchinson-Gilford Progerin Syndrome (HGPS) is a premature aging disease caused by a point mutation in the LMNA gene, which encodes A-type lamins. This mutation activates a cryptic splice donor in exon 11 and leads to the production of a toxic lamin variant called progerin. Interestingly, small amounts of progerin have also been found in cells and tissues of normal individuals. Here we examine the expression of progerin in publicly available RNA-seq data from normal individuals of the GTEx project. Among the 30 available tissues, progerin expression in normal individuals is highest in sun-exposed skin samples, and its expression in different tissues of the same donor is correlated. In addition, telomere shortening is significantly correlated with progerin expression. Transcriptome-wide correlation analyses suggest that the level of progerin expression is highly correlated with switches in gene isoform expression patterns, perhaps reflecting widespread isoform shifts in these samples. Differential expression analyses show that progerin expression is correlated with significant changes in the level of transcripts from genes involved in splicing regulation and a significant reduction of mitochondrial transcripts. Interestingly, 5’ splice sites whose use is correlated (either positively or negatively) with progerin expression have significantly altered frequencies of consensus trinucleotides within the core 5’ splice site. Furthermore, introns whose alternative splicing is correlated with progerin have reduced GC content. Together, our study suggests that progerin expression in normal individuals is part of a global shift in splicing patterns and provides insight into the mechanism behind these changes.Item SGR: an online genomic resource for the woodland strawberry(Springer Nature, 2013-12-23) Darwish, Omar; Slovin, Janet P; Kang, Chunying; Hollender, Courtney A; Geretz, Aviva; Houston, Sam; Liu, Zhongchi; Alkharouf, Nadim WFragaria vesca, a diploid strawberry species commonly known as the alpine or woodland strawberry, is a versatile experimental plant system and an emerging model for the Rosaceae family. An ancestral F. vesca genome contributed to the genome of the octoploid dessert strawberry (F. ×ananassa), and the extant genome exhibits synteny with other commercially important members of the Rosaceae family such as apple and peach. To provide a molecular description of floral organ and fruit development at the resolution of specific tissues and cell types, RNAs from flowers and early developmental stage fruit tissues of the inbred F. vesca line YW5AF7 were extracted and the resulting cDNA libraries sequenced using an Illumina HiSeq2000. To enable easy access as well as mining of this two-dimensional (stage and tissue) transcriptome dataset, a web-based database, the Strawberry Genomic Resource (SGR), was developed. SGR is a web accessible database that contains sample description, sample statistics, gene annotation, and gene expression analysis. This information can be accessed publicly from a web-based interface at http://bioinformatics.towson.edu/strawberry/Default.aspx . The SGR website provides user friendly search and browse capabilities for all the data stored in the database. Users are able to search for genes using a gene ID or description or obtain differentially expressed genes by entering different comparison parameters. Search results can be downloaded in a tabular format compatible with Microsoft excel application. Aligned reads to individual genes and exon/intron structures are displayed using the genome browser, facilitating gene re-annotation by individual users. The SGR database was developed to facilitate dissemination and data mining of extensive floral and fruit transcriptome data in the woodland strawberry. It enables users to mine the data in different ways to study different pathways or biological processes during reproductive development.Item Global identification and analysis of long non-coding RNAs in diploid strawberry Fragaria vesca during flower and fruit development(Springer Nature, 2015-10-19) Kang, Chunying; Liu, ZhongchiLong non-coding RNAs (lncRNAs) are a new class of regulatory molecules with roles in diverse biological processes. While much effort has been invested in the analysis of lncRNAs from established plant models Arabidopsis, maize, and rice, almost nothing is known about lncRNAs from fruit crops, including those in the Rosaceae family. Here, we present a genome-scale identification and characterization of lncRNAs from a diploid strawberry, Fragaria vesca, based on rich RNA-seq datasets from 35 different flower and fruit tissues. 5,884 Fve-lncRNAs derived from 3,862 loci were identified. These lncRNAs were carefully cataloged based on expression level and whether or not they contain repetitive sequences or generate small RNAs. About one fourth of them are termed high-confidence lncRNAs (hc-lncRNAs) because they are expressed at a level of FPKM higher than 2 and produce neither small RNAs nor contain repetitive sequence. To identify regulatory interactions between lncRNAs and their potential protein-coding (PC) gene targets, pairs of lncRNAs and PC genes with positively or negatively correlated expression trends were identified based on their expression; these pairs may be candidates of cis- or trans-acting lncRNAs and their targets. Finally, blast searches within plant species indicate that lncRNAs are not well conserved. Our study identifies a large number of tissue-specifically expressed lncRNAs in F. vesca, thereby highlighting their potential contributions to strawberry flower and fruit development and paving the way for future functional studies.Item Simultaneous transcriptional profiling of Leishmania major and its murine macrophage host cell reveals insights into host-pathogen interactions(Springer Nature, 2015-12-29) Dillon, Laura A. L.; Suresh, Rahul; Okrah, Kwame; Corrada Bravo, Hector; Mosser, David M.; El-Sayed, Najib M.Parasites of the genus Leishmania are the causative agents of leishmaniasis, a group of diseases that range in manifestations from skin lesions to fatal visceral disease. The life cycle of Leishmania parasites is split between its insect vector and its mammalian host, where it resides primarily inside of macrophages. Once intracellular, Leishmania parasites must evade or deactivate the host's innate and adaptive immune responses in order to survive and replicate. We performed transcriptome profiling using RNA-seq to simultaneously identify global changes in murine macrophage and L. major gene expression as the parasite entered and persisted within murine macrophages during the first 72 h of an infection. Differential gene expression, pathway, and gene ontology analyses enabled us to identify modulations in host and parasite responses during an infection. The most substantial and dynamic gene expression responses by both macrophage and parasite were observed during early infection. Murine genes related to both pro- and anti-inflammatory immune responses and glycolysis were substantially upregulated and genes related to lipid metabolism, biogenesis, and Fc gamma receptor-mediated phagocytosis were downregulated. Upregulated parasite genes included those aimed at mitigating the effects of an oxidative response by the host immune system while downregulated genes were related to translation, cell signaling, fatty acid biosynthesis, and flagellum structure. The gene expression patterns identified in this work yield signatures that characterize multiple developmental stages of L. major parasites and the coordinated response of Leishmania-infected macrophages in the real-time setting of a dual biological system. This comprehensive dataset offers a clearer and more sensitive picture of the interplay between host and parasite during intracellular infection, providing additional insights into how pathogens are able to evade host defenses and modulate the biological functions of the cell in order to survive in the mammalian environment.Item Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis(Springer Nature, 2019-08-13) Gunady, Mohamed K; Mount, Stephen M; Bravo, Héctor CorradaUltra-fast pseudo-alignment approaches are the tool of choice in transcript-level RNA sequencing (RNA-seq) analyses. Unfortunately, these methods couple the tasks of pseudo-alignment and transcript quantification. This coupling precludes the direct usage of pseudo-alignment to other expression analyses, including alternative splicing or differential gene expression analysis, without including a non-essential transcript quantification step.Item Transcriptomic profiling of Leishmania parasites and host macrophages during an infection(2015) Dillon, Laura Anne Liefer; El-Sayed, Najib M; Cell Biology & Molecular Genetics; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Leishmania parasites cause leishmaniasis, a group of diseases that range in manifestations from skin lesions to fatal visceral disease. The parasite's life cycle is divided between its insect vector and its mammalian host, where it resides primarily inside of macrophages. Once intracellular, Leishmania parasites must avoid being killed by the innate and adaptive immune responses. We performed transcriptomic profiling using RNA-seq to simultaneously identify global changes in gene expression in Leishmania parasites across multiple lifecycle stages and in infected macrophages from both murine and human hosts. Using a novel approach based on a dual statistical test to identify genes that were differentially expressed relative to both uninfected macrophages and macrophages that had ingested inert particles, we were able to filter out genes that were differentially regulated as part of a general phagocytic response and thereby select genes specific to Leishmania infection. The most substantial and dynamic Leishmania-specific differential expression responses were observed during early infection, while changes observed later were common to phagocytosis more generally. An evaluation of RNA processing events within the parasite revealed precise UTR boundaries for a majority of genes and widespread alternative trans-splicing and polyadenylation. Collection of data from multiple biological replicates, the use of matched host control samples, careful statistical analysis of variation, and removal of batch effects enabled the detection of biological differences between samples and timepoints with high confidence and sensitivity. Pathway and gene ontology analyses provided insights into the higher level processes activated across parasite developmental stages and during intracellular infection to reveal signatures of Leishmania differentiation and infection.