Browsing by Author "Jensen, Roderick V."
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- Analysis of the in planta transcriptome expressed by the corn pathogen Pantoea stewartii subsp. stewartii via RNA-SeqPackard, Holly; Burke, Alison K.; Jensen, Roderick V.; Stevens, Ann M. (PeerJ, 2017-04-27)Pantoea stewartii subsp. stewartii is a bacterial phytopathogen that causes Stewart’s wilt disease in corn. It uses quorum sensing to regulate expression of some genes involved in virulence in a cell density-dependent manner as the bacterial population grows from small numbers at the initial infection site in the leaf apoplast to high cell numbers in the xylem where it forms a biofilm. There are also other genes important for pathogenesis not under quorum-sensing control such as a Type III secretion system. The purpose of this study was to compare gene expression during an in planta infection versus either a pre-inoculum in vitro liquid culture or an in vitro agar plate culture to identify genes specifically expressed in planta that may also be important for colonization and/or virulence. RNA was purified from each sample type to determine the transcriptome via RNA-Seq using Illumina sequencing of cDNA. Fold gene expression changes in the in planta data set in comparison to the two in vitro grown samples were determined and a list of the most differentially expressed genes was generated to elucidate genes important for plant association. Quantitative reverse transcription PCR (qRT-PCR) was used to validate expression patterns for a select subset of genes. Analysis of the transcriptome data via gene ontology revealed that bacterial transporters and systems important for oxidation reduction processes appear to play a critical role for P. stewartii as it colonizes and causes wilt disease in corn plants.
- Analysis of the Quorum Sensing Regulons of Vibrio parahaemolyticus BB22 and Pantoea stewartii subspecies stewartiiBurke, Alison Kernell (Virginia Tech, 2015-12-07)Quorum sensing is utilized by many different proteobacteria, including the two studied for this dissertation work, Vibrio parahaemolyticus and Pantoea stewartii subsp. stewartii. V. parahaemolyticus causes acute gastroenteritis in people who eat contaminated raw or undercooked shellfish. It is found in warmer marine waters and in rare cases, causes systemic infections when bacteria enter the body through open wounds. P. stewartii, on the other hand, is a phytopathogen that causes Stewart's wilt in maize. It is found in soil or the mid-gut of the corn flea beetle, its insect vector. Both V. parahaemolyticus and P. stewartii utilize quorum sensing to control their pathogenicity. Quorum sensing enables coordinate gene expression across a bacterial population. The V. parahaemolyticus quorum-sensing system utilizes the master regulator OpaR, which is homologous to the V. harveyii LuxRVh and the P. stewartii system contains EsaR which is homologous to the V. fischeri LuxRVf regulator. While the two systems differ in the molecular details of their mechanistic control, they are both forms of cell density dependent regulation that are either directly or indirectly controlled by small signaling molecules. Three different signaling molecules are found in V. parahaemolyticus, and only one signal is used in P. stewartii. The focus of this dissertation has been on understanding the downstream targets of OpaR and EsaR in their respective quorum-sensing systems. Prior to this work, it was known that when OpaR is not present or is nonfunctional V. parahaemolyticus changes from an opaque to a translucent colony morphology phenotype and the cells also become swarm proficient and more pathogenic. The complete genome of the V. parahaemolyticus BB22OP strain was assembled and annotated (Chapter 2). RNA-Seq was then used to analyze the transcriptomes of OpaR-active and OpaR-deficient strains of V. parahaemolyticus and identify genes that were regulated via quorum sensing (Chapter 3). Similarly, P. stewartii was also analyzed using RNA-Seq to identify genes controlled by EsaR in the transcriptome that had not been detected through prior proteomic studies. The initial RNA-Seq work confirmed the control of some previously identified direct targets of EsaR and newly identified ten other genes also directly controlled by EsaR (Chapter 4). Two direct targets of EsaR, rcsA and lrhA, became the focus of additional studies to further define the hierarchy of gene control downstream of the quorum-sensing regulator EsaR. RcsA controls capsule production, while LrhA controls motility and adhesion in P. stewartii. The regulons of rcsA and lrhA were defined by RNA-Seq, which also revealed multi-level control of rcsA gene expression (Chapter 5). Tight coordinated and temporal control of virulence factors is important for successful disease progression by pathogens. This dissertation work aims to enable a better understanding of the quorum-sensing hierarchy of genetic control in V. parahaemolyticus and P. stewartii.
- Analyzing the Transcriptomes of Two Quorum-Sensing Controlled Transcription Factors, RcsA and LrhA, Important for Pantoea stewartii VirulenceBurke, Alison K.; Duong, Duy An; Jensen, Roderick V.; Stevens, Ann M. (Public Library of Science, 2015-12-23)The Gram-negative proteobacterium Pantoea stewartii subsp. stewartii causes wilt disease in corn plants. Wilting is primarily due to bacterial exopolysaccharide (EPS) production that blocks water transport in the xylem during the late stages of infection. EsaR, the master quorum-sensing (QS) regulator in P. stewartii, modulates EPS levels. At low cell densities EsaR represses or activates expression of a number of genes in the absence of its acyl homoserine lactone (AHL) ligand. At high cell densities, binding of AHL inactivates EsaR leading to derepression or deactivation of its direct targets. Two of these direct targets are the key transcription regulators RcsA and LrhA, which in turn control EPS production and surface motility/adhesion, respectively. In this study, RNA-Seq was used to further examine the physiological impact of deleting the genes encoding these two second-tier regulators. Quantitative reverse transcription PCR (qRT-PCR) was used to validate the regulation observed in the RNA-Seq data. A GFP transcriptional fusion reporter confirmed the existence of a regulatory feedback loop in the system between LrhA and RcsA. Plant virulence assays carried out with rcsA and lrhA deletion and complementation strains demonstrated that both transcription factors play roles during establishment of wilt disease in corn. These efforts further define the hierarchy of the QS-regulated network controlling plant virulence in P. stewartii.
- Architecture and Evolution of Xylem-related Gene Coexpression Networks in PoplarsSuren, Haktan (Virginia Tech, 2013-02-14)With the advent of sequencing technologies, a variety of methods have been available day by day. Each of these methods have helped scientists to for a deeper understanding of the biological function and evolutionary constraints on the relevant genes, which can be gained through the use of modern computational approaches. Numerous approaches have being developed to advance these goals, and interaction network mapping is one of them. This method has been employed to study a variety of organisms to illustrate shared (conserved) or individual (unique) properties, and is mainly based on identifying and visualizing modules of co-expressed genes. As being a very strong candidate for such tools, co-expression gene network was used in this study to indentify the genes in wood formation of Populus trichocarpa with the help of the other novel bioinformatics tools such as Gene Ontology and Cytoscape. In order to booster the accuracy of the findings, we have combined it with an evolutionary approach, synonymous and non-synonymous ratio (dN/dS) of the proteins to show the selective patterns of the genes in a comparative fashion between woody and non-woody plants. This thesis is proposed to help plant scientists to gain insights into the genes that are involved in wood formation. By taking advantage of the computational studies have been done on this paper, one can validate the experiments along with reducing the cumbersomeness of the lab trials on the topic of wood formation in plants
- Association of RERG Expression with Female Survival Advantage in Malignant Pleural MesotheliomaDe Rienzo, Assunta; Coleman, Melissa H.; Yeap, Beow Y.; Severson, David T.; Wadowski, Benjamin; Gustafson, Corinne E.; Jensen, Roderick V.; Chirieac, Lucian R.; Richards, William G.; Bueno, Raphael (MDPI, 2021-02-02)Sex differences in incidence, prognosis, and treatment response have been described for many cancers. In malignant pleural mesothelioma (MPM), a lethal disease associated with asbestos exposure, men outnumber women 4 to 1, but women consistently live longer than men following surgery-based therapy. This study investigated whether tumor expression of genes associated with estrogen signaling could potentially explain observed survival differences. Two microarray datasets of MPM tumors were analyzed to discover estrogen-related genes associated with survival. A validation cohort of MPM tumors was selected to balance the numbers of men and women and control for competing prognostic influences. The RAS like estrogen regulated growth inhibitor (RERG) gene was identified as the most differentially-expressed estrogen-related gene in these tumors and predicted prognosis in discovery datasets. In the sex-matched validation cohort, low RERG expression was significantly associated with increased risk of death among women. No association between RERG expression and survival was found among men, and no relationship between estrogen receptor protein or gene expression and survival was found for either sex. Additional investigations are needed to elucidate the molecular mechanisms underlying this association and its sex specificity.
- The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studiesShi, Leming; Jones, Wendell D.; Jensen, Roderick V.; Harris, Stephen C.; Perkins, Roger G.; Goodsaid, Federico M.; Guo, Lei; Croner, Lisa J.; Boysen, Cecilie; Fang, Hong; Qian, Feng; Amur, Shashi; Bao, Wenjun; Barbacioru, Catalin C.; Bertholet, Vincent; Cao, Xiaoxi M.; Chu, Tzu-Ming; Collins, Patrick J.; Fan, Xiao-hui; Frueh, Felix W.; Fuscoe, James C.; Guo, Xu; Han, Jing; Herman, Damir; Hong, Huixiao; Kawasaki, Ernest S.; Li, Quan-Zhen; Luo, Yuling; Ma, Yunqing; Mei, Nan; Peterson, Ron L.; Puri, Raj K.; Shippy, Richard; Su, Zhenqiang; Sun, Yongming A.; Sun, Hongmei; Thorn, Brett; Turpaz, Yaron; Wang, Charles; Wang, Sue J.; Warrington, Janet A.; Willey, James C.; Wu, Jie; Xie, Qian; Zhang, Liang; Zhang, Lu; Zhong, Sheng; Wolfinger, Russell D.; Tong, Weida (2008-08-12)Background Reproducibility is a fundamental requirement in scientific experiments. Some recent publications have claimed that microarrays are unreliable because lists of differentially expressed genes (DEGs) are not reproducible in similar experiments. Meanwhile, new statistical methods for identifying DEGs continue to appear in the scientific literature. The resultant variety of existing and emerging methods exacerbates confusion and continuing debate in the microarray community on the appropriate choice of methods for identifying reliable DEG lists. Results Using the data sets generated by the MicroArray Quality Control (MAQC) project, we investigated the impact on the reproducibility of DEG lists of a few widely used gene selection procedures. We present comprehensive results from inter-site comparisons using the same microarray platform, cross-platform comparisons using multiple microarray platforms, and comparisons between microarray results and those from TaqMan - the widely regarded "standard" gene expression platform. Our results demonstrate that (1) previously reported discordance between DEG lists could simply result from ranking and selecting DEGs solely by statistical significance (P) derived from widely used simple t-tests; (2) when fold change (FC) is used as the ranking criterion with a non-stringent P-value cutoff filtering, the DEG lists become much more reproducible, especially when fewer genes are selected as differentially expressed, as is the case in most microarray studies; and (3) the instability of short DEG lists solely based on P-value ranking is an expected mathematical consequence of the high variability of the t-values; the more stringent the P-value threshold, the less reproducible the DEG list is. These observations are also consistent with results from extensive simulation calculations. Conclusion We recommend the use of FC-ranking plus a non-stringent P cutoff as a straightforward and baseline practice in order to generate more reproducible DEG lists. Specifically, the P-value cutoff should not be stringent (too small) and FC should be as large as possible. Our results provide practical guidance to choose the appropriate FC and P-value cutoffs when selecting a given number of DEGs. The FC criterion enhances reproducibility, whereas the P criterion balances sensitivity and specificity.
- Candidate Gene Sequence Analyses toward Identifying Rsv3-Type Resistance to Soybean Mosaic VirusRedekar, Neelam R.; Clevinger, Elizabeth M.; Laskar, M. A.; Biyashev, Ruslan M.; Ashfield, Tom; Jensen, Roderick V.; Jeong, Soon-Chun; Tolin, Sue A.; Saghai-Maroof, Mohammad A. (Crop Science Society of America, 2016-05-13)Rsv3 is one of three genetic loci conferring strain-specific resistance to Soybean mosaic virus (SMV). The Rsv3 locus has been mapped to a 154-kb region on chromosome 14, containing a cluster of five nucleotide-binding leucine-rich repeat (NB-LRR) resistance genes. High sequence similarity between the Rsv3 candidate genes challenges fine mapping of the locus. Among the five, Glyma14g38533 showed the highest transcript abundance in 1 to 3 h of SMV-G7 inoculation. Comparative sequence analyses were conducted with the five Rsv3 candidate NB-LRR genes from susceptible (rsv-type) soybean [Glycine max (L.) Merr.] cultivar Williams 82, resistant (Rsv3-type) cultivar Hwangkeum, and resistant lines L29 and RRR. Sequence comparisons revealed that Glyma14g38533 had far more polymorphisms than the other candidate genes. Interestingly, Glyma14g38533 gene from Rsv3-type lines exhibited 150 single-nucleotide polymorphism (SNP and six insertion–deletion (InDel) markers relative to rsv-type line, Furthermore, the polymorphisms identified in three Rsv3-type lines were highly conserved. Several polymorphisms were validated in 18 Rsv3-type resistant and six rsv-type susceptible lines and were found associated with their disease response. The majority of the polymorphisms were located in LRR domain encoding region, which is involved in pathogen recognition via protein–protein interactions. These findings associating Glyma14g38533 with Rsv3-type resistance to SMV suggest it is the most likely candidate gene for Rsv3.
- Changes in Gene Expression and Cellular Architecture in an Ovarian Cancer Progression ModelCreekmore, Amy L.; Silkworth, William T.; Cimini, Daniela; Jensen, Roderick V.; Roberts, Paul C.; Schmelz, Eva M. (PLOS, 2011-03-03)Background Ovarian cancer is the fifth leading cause of cancer deaths among women. Early stage disease often remains undetected due the lack of symptoms and reliable biomarkers. The identification of early genetic changes could provide insights into novel signaling pathways that may be exploited for early detection and treatment. Methodology/Principal Findings Mouse ovarian surface epithelial (MOSE) cells were used to identify stage-dependent changes in gene expression levels and signal transduction pathways by mouse whole genome microarray analyses and gene ontology. These cells have undergone spontaneous transformation in cell culture and transitioned from non-tumorigenic to intermediate and aggressive, malignant phenotypes. Significantly changed genes were overrepresented in a number of pathways, most notably the cytoskeleton functional category. Concurrent with gene expression changes, the cytoskeletal architecture became progressively disorganized, resulting in aberrant expression or subcellular distribution of key cytoskeletal regulatory proteins (focal adhesion kinase, α-actinin, and vinculin). The cytoskeletal disorganization was accompanied by altered patterns of serine and tyrosine phosphorylation as well as changed expression and subcellular localization of integral signaling intermediates APC and PKCβII. Conclusions/Significance Our studies have identified genes that are aberrantly expressed during MOSE cell neoplastic progression. We show that early stage dysregulation of actin microfilaments is followed by progressive disorganization of microtubules and intermediate filaments at later stages. These stage-specific, step-wise changes provide further insights into the time and spatial sequence of events that lead to the fully transformed state since these changes are also observed in aggressive human ovarian cancer cell lines independent of their histological type. Moreover, our studies support a link between aberrant cytoskeleton organization and regulation of important downstream signaling events that may be involved in cancer progression. Thus, our MOSE-derived cell model represents a unique model for in depth mechanistic studies of ovarian cancer progression.
- Changes in the expression of genes encoding type IV pili-associated proteins are seen when Clostridium perfringens is grown in liquid or on surfacesSoncini, Samantha R.; Hartman, Andrea H.; Gallagher, Tara M.; Camper, Gary J.; Jensen, Roderick V.; Melville, Stephen B. (2020-01-14)Background Clostridium perfringens is a Gram-positive anaerobic pathogen that causes multiple diseases in humans and animals. C. perfringens lack flagella but have type IV pili (TFP) and can glide on agar surfaces. When C. perfringens bacteria are placed on surfaces, they become elongated, flexible and have TFP on their surface, traits not seen in liquid-grown cells. In addition, the main pilin in C. perfringens TFP, PilA2, undergoes differential post-translational modification when grown in liquid or on plates. To understand the mechanisms underlying these phenotypes, bacteria were grown in three types of liquid media and on agar plates with the same medium to compare gene expression using RNA-Seq. Results Hundreds of genes were differentially expressed, including transcriptional regulatory protein-encoding genes and genes associated with TFP functions, which were higher on plates than in liquid. Transcript levels of TFP genes reflected the proportion of each protein predicted to reside in a TFP assembly complex. To measure differences in rates of translation, the Escherichia coli reporter gene gusA gene (encoding β-glucuronidase) was inserted into the chromosome downstream of TFP promoters and in-frame with the first gene of the operon. β-glucuronidase expression was then measured in cells grown in liquid or on plates. β-glucuronidase activity was proportional to mRNA levels in liquid-grown cells, but not plate-grown cells, suggesting significant levels of post-transcriptional regulation of these TFP-associated genes occurs when cells are grown on surfaces. Conclusions This study reveals insights into how a non-flagellated pathogenic rod-shaped bacterium senses and responds to growth on surfaces, including inducing transcriptional regulators and activating multiple post-transcriptional regulatory mechanisms associated with TFP functions.
- Characterization of lin-42/period transcriptional regulation by the Ikaros/hunchback-family transcription factor ZTF-16 in Caenorhabditis elegansMeisel, Kacey Danielle (Virginia Tech, 2013-06-03)The gene lin-42 is an ortholog of the mammalian period gene, a component of the circadian pathway that converts environmental stimuli into behavioral and physiological outputs over 24 hours. Mammalian period also regulates adult stem cell differentiation, although this function is poorly understood. The structure, function and expression of lin-42 are all similar to period. Therefore, we are studying lin-42 regulation and function during C. elegans larval development as a model for understanding period control of mammalian stem/progenitor cell development. Previous work has shown that ZTF-16 is a regulator of lin-42 transcription. The lin-42 locus encodes three isoforms, and we have characterized lin-42 isoform specific regulation by ZTF-16 through phenotypic assays and analysis of transcriptional reporter strains. Our data show that ZTF-16 regulates the cyclic expression of lin-42A and lin-42B during larval development. However, ztf-16 is not expressed during the adult stage and does not regulate lin-42C, which is expressed only in adults and may be responsible for the circadian functions of lin-42. We also show that ztf-16 reduction-of-function mutations phenocopy loss-of- function phenotypes of the lin-42A/B isoforms. Finally, we have found that deletion of a putative ZTF-16 transcription factor binding site within the lin-42BC promoter abolishes tissue-specific expression patterns. Together, these data indicate that ZTF-16 is required to regulate the expression of lin-42A/B during C. elegans development, and may do this by direct binding to the lin-42BC promoter. Our findings pave the way for testing the possible regulation of period expression by HIL-family transcription factors in mammalian tissues.
- Comparative Genome Analysis of the High Pathogenicity Salmonella Typhimurium Strain UK-1Luo, Yingqin; Kong, Qingke; Yang, Jiseon; Mitra, Arindam; Golden, Greg; Wanda, Soo-Young; Roland, Kenneth L.; Jensen, Roderick V.; Ernst, Peter B.; Curtiss, Roy, III (PLOS, 2012-07-06)Salmonella enterica serovar Typhimurium, a gram-negative facultative rod-shaped bacterium causing salmonellosis and foodborne disease, is one of the most common isolated Salmonella serovars in both developed and developing nations. Several S. Typhimurium genomes have been completed and many more genome-sequencing projects are underway. Comparative genome analysis of the multiple strains leads to a better understanding of the evolution of S. Typhimurium and its pathogenesis. S. Typhimurium strain UK-1 (belongs to phage type 1) is highly virulent when orally administered to mice and chickens and efficiently colonizes lymphoid tissues of these species. These characteristics make this strain a good choice for use in vaccine development. In fact, UK-1 has been used as the parent strain for a number of nonrecombinant and recombinant vaccine strains, including several commercial vaccines for poultry. In this study, we conducted a thorough comparative genome analysis of the UK-1 strain with other S. Typhimurium strains and examined the phenotypic impact of several genomic differences. Whole genomic comparison highlights an extremely close relationship between the UK-1 strain and other S. Typhimurium strains; however, many interesting genetic and genomic variations specific to UK-1 were explored. In particular, the deletion of a UK-1-specific gene that is highly similar to the gene encoding the T3SS effector protein NleC exhibited a significant decrease in oral virulence in BALB/c mice. The complete genetic complements in UK-1, especially those elements that contribute to virulence or aid in determining the diversity within bacterial species, provide key information in evaluating the functional characterization of important genetic determinants and for development of vaccines.
- Comparative genomics of bacteria from amphibian skin associated with inhibition of an amphibian fungal pathogen Batrachochytrium dendrobatidisWax, Noah David (Virginia Tech, 2021-06-22)Chytridiomycosis is a fungal skin disease in amphibians that is primarily caused by Batrachochytrium dendrobatidis (Bd). We analyzed whole genome sequences of 40 bacterial isolates that had been previously cultured from the skin of four amphibian species from Virginia, USA, and tested for their ability to inhibit Bd growth via an in vitro challenge assay. These 40 isolates spanned 11 families and 13 genera. The aim of this study was to identify genomic differences among the amphibian skin bacterial isolates and generate hypotheses about possible differences that could contribute to variation in their ability to inhibit the growth of Bd. We identified sixty-five gene families that were present in all 40 isolates. We also looked for the presence of biosynthetic gene clusters. While this set of isolates contained a wide variety of biosynthetic gene clusters, the two most abundant clusters with potential anti-fungal activity were siderophores (N=17) and Type III polyketide synthases (N=20). We then analyzed the isolates belonging to the phylum Proteobacteria in more detail. We identified 197 gene families that were present in all 22 Proteobacteria. We examined various subsets of the Proteobacteria for genes for specific compounds with known activity against fungi, including chitinase and violacein. We identified a difference in the number, as well as amino acid sequences, of predicted chitinases found in two isolates belonging to the genus Agrobacterium that varied in their inhibition of Bd. After examining the annotated genomes, we identified a predicted chitinase in a Sphingomonas isolate that inhibited the growth of Bd that was absent from the five Sphingomonas isolates that did not inhibit Bd growth. The genes vioA, vioB, vioC, vioD and vioE are necessary to produce violacein, a compound which inhibits the growth of Bd. Differences in these genes were identified in three out of the four Janthinobacterium isolates. Of these three isolates, two showed strong inhibition of Bd growth, while the third inhibited Bd growth to a lesser extent. Using comparative genomics, we generated several testable hypotheses about differences among bacterial isolates that could contribute to variation in ability to inhibit Bd growth. Further work is necessary to test the various mechanisms utilized by amphibian skin bacterial isolates to inhibit Bd.
- Complete Genome Assembly of Pantoea stewartii subsp. stewartii DC283, a Corn PathogenDuong, Duy An; Stevens, Ann M.; Jensen, Roderick V. (2017-06)The phytopathogen Pantoea stewartii subsp. stewartii DC283 causes Stewart's wilt disease in corn after transmission from the corn flea beetle insect vector. Here, we report that the complete annotated genome of P. stewartii DC283 has been fully assembled into one circular chromosome, 10 circular plasmids, and one linear phage.
- Complete Genome Sequence of Providencia stuartii CMC-4104, Isolated from a Human Splenic Abscess, Containing Multiple Copies of NDM-1 and PER-1 Carbapenem Resistance GenesRao, Jayasimha; Stornelli, Nicholas K.; Everson, Nathan A.; McDaniel, Lauren F.; Gomez De La Espriella, Mariana; Faulhaber, Jason R.; Todd, S. Michelle; Lahmers, Kevin K.; Jensen, Roderick V. (American Society for Microbiology, 2022-08-04)We report the complete genome sequence of a clinical isolate of Providencia stuartii strain CMC-4104, isolated from a splenic abscess. Oxford Nanopore Technologies (ONT) and Illumina sequencing reads were assembled using Geneious to generate a 4,504,925-bp circular chromosome containing multiple copies of the NDM-1 and PER-1 genes in a genomic resistance island.
- Complete Genome Sequence of Pseudomonas aeruginosa CMC-115, a Clinical Strain from an Acute Ventilator-Associated Pneumonia PatientAdenikinju, Adenike; Jensen, Roderick V.; Kerkering, Thomas M.; Garner, Dorothy C.; Rao, Jayasimha (2020-07)We report the complete genome of clinical strain Pseudomonas aeruginosa CMC-115, which was isolated from an acute ventilator-associated pneumonia patient. Illumina sequencing reads were assembled using Geneious to yield a 6,375,262-bp circular chromosome that exhibited an unusual ferrichrome receptor in the pyoverdine synthesis locus and the absence of type 3 secretion system genes.
- Computational Analysis of Viruses in Metagenomic DataTithi, Saima Sultana (Virginia Tech, 2019-10-24)Viruses have huge impact on controlling diseases and regulating many key ecosystem processes. As metagenomic data can contain many microbiomes including many viruses, by analyzing metagenomic data we can analyze many viruses at the same time. The first step towards analyzing metagenomic data is to identify and quantify viruses present in the data. In order to answer this question, we developed a computational pipeline, FastViromeExplorer. FastViromeExplorer leverages a pseudoalignment based approach, which is faster than the traditional alignment based approach to quickly align millions/billions of reads. Application of FastViromeExplorer on both human gut samples and environmental samples shows that our tool can successfully identify viruses and quantify the abundances of viruses quickly and accurately even for a large data set. As viruses are getting increased attention in recent times, most of the viruses are still unknown or uncategorized. To discover novel viruses from metagenomic data, we developed a computational pipeline named FVE-novel. FVE-novel leverages a hybrid of both reference based and de novo assembly approach to recover novel viruses from metagenomic data. By applying FVE-novel to an ocean metagenome sample, we successfully recovered two novel viruses and two different strains of known phages. Analysis of viral assemblies from metagenomic data reveals that viral assemblies often contain assembly errors like chimeric sequences which means more than one viral genomes are incorrectly assembled together. In order to identify and fix these types of assembly errors, we developed a computational tool called VirChecker. Our tool can identify and fix assembly errors due to chimeric assembly. VirChecker also extends the assembly as much as possible to complete it and then annotates the extended and improved assembly. Application of VirChecker to viral scaffolds collected from an ocean meatgenome sample shows that our tool successfully fixes the assembly errors and extends two novel virus genomes and two strains of known phage genomes.
- Differential Expression Analysis of Type II Toxin-Antitoxin Genes of Pseudomonas aeruginosa PAO1 under Different Environmental ConditionsHaque, Anamul (Virginia Tech, 2018-07-02)Bacterial persistence is considered as one of the primary reason for antibiotic tolerance besides genetically acquired antibiotic resistance. Persisters are the subpopulation of a clonal bacterial population, which can survive environmental extremes and become invulnerable to stresses due to limited metabolic activities and physiological functions. Cognate toxin and antitoxin (TA) pairs, which are transcribed simultaneously from the same or different operons within the bacterial chromosomes or plasmids, play an important role for bacterial survival during stressful growth environments. Pseudomonas aeruginosa PAO1 is one of the most versatile microorganisms in the environment. Despite its ubiquitous presence, no studies have shown the differential expression pattern of its toxin-antitoxins, and persistence related genes. The purpose of the following study is to analyze differential expression of P. aeruginosa PAO1 type II toxin-antitoxins and persistence related genes under different growth conditions and to show how their stoichiometric ratio changes during different growth conditions. Differential expression analysis indicated that the toxins and antitoxin pairs behave differently under different growth conditions. In addition, the genes related to persistence presented relatively consistent differential expression pattern under different growth environment.
- Differential expression patterns of housekeeping genes increase diagnostic and prognostic value in lung cancerChang, Yu-Chun; Ding, Yan; Dong, Lingsheng; Zhu, Lang-Jing; Jensen, Roderick V.; Hsiao, Li-Li (PeerJ, 2018-05-09)Background. Using DNA microarrays, we previously identified 451 genes expressed in 19 different human tissues. Although ubiquitously expressed, the variable expression patterns of these "housekeeping genes" (HKGs) could separate one normal human tissue type from another. Current focus on identifying "specific disease markers" is problematic as single gene expression in a given sample represents the specific cellular states of the sample at the time of collection. In this study, we examine the diagnostic and prognostic potential of the variable expressions of HKGs in lung cancers. Methods. Microarray and RNA-seq data for normal lungs, lung adenocarcinomas (AD), squamous cell carcinomas of the lung (SQCLC), and small cell carcinomas of the lung (SCLC) were collected from online databases. Using 374 of 451 HKGs, differentially expressed genes between pairs of sample types were determined via two-sided, homoscedastic t -test. Principal component analysis and hierarchical clustering classified normal lung and lung cancers subtypes according to relative gene expression variations. We used uni- and multi-variate cox-regressions to identify significant predictors of overall survival in AD patients. Classifying genes were selected using a set of training samples and then validated using an independent test set. Gene Ontology was examined by PANTHER. Results. This study showed that the differential expression patterns of 242, 245, and 99 HKGs were able to distinguish normal lung from AD, SCLC, and SQCLC, respectively. From these, 70 HKGs were common across the three lung cancer subtypes. These HKGs have low expression variation compared to current lung cancer markers (e.g., EGFR, KRAS) and were involved in the most common biological processes (e.g., metabolism, stress response). In addition, the expression pattern of 106 HKGs alone was a significant classifier of AD versus SQCLC. We further highlighted that a panel of 13 HKGs was an independent predictor of overall survival and cumulative risk in AD patients. Discussion. Here we report HKG expression patterns may be an effective tool for evaluation of lung cancer states. For example, the differential expression pattern of 70 HKGs alone can separate normal lung tissue from various lung cancers while a panel of 106 HKGs was a capable class predictor of subtypes of non-small cell carcinomas. We also reported that HKGs have significantly lower variance compared to traditional cancer markers across samples, highlighting the robustness of a panel of genes over any one specific biomarker. Using RNA-seq data, we showed that the expression pattern of 13 HKGs is a significant, independent predictor of overall survival for AD patients. This reinforces the predictive power of a HKG panel across different gene expression measurement platforms. Thus, we propose the expression patterns of HKGs alone may be sufficient for the diagnosis and prognosis of individuals with lung cancer.
- Differentially expressed alternatively spliced genes in Malignant Pleural Mesothelioma identified using massively parallel transcriptome sequencingDong, Lingsheng; Jensen, Roderick V.; De Rienzo, Assunta; Gordon, Gavin J.; Xu, Yanlong; Sugarbaker, David J.; Bueno, Raphael (2009-12-31)Background Analyses of Expressed Sequence Tags (ESTs) databases suggest that most human genes have multiple alternative splice variants. The alternative splicing of pre-mRNA is tightly regulated during development and in different tissue types. Changes in splicing patterns have been described in disease states. Recently, we used whole-transcriptome shotgun pryrosequencing to characterize 4 malignant pleural mesothelioma (MPM) tumors, 1 lung adenocarcinoma and 1 normal lung. We hypothesized that alternative splicing profiles might be detected in the sequencing data for the expressed genes in these samples. Methods We developed a software pipeline to map the transcriptome read sequences of the 4 MPM samples and 1 normal lung sample onto known exon junction sequences in the comprehensive AceView database of expressed sequences and to count how many reads map to each junction. 13,274,187 transcriptome reads generated by the Roche/454 sequencing platform for 5 samples were compared with 151,486 exon junctions from the AceView database. The exon junction expression index (EJEI) was calculated for each exon junction in each sample to measure the differential expression of alternative splicing events. Top ten exon junctions with the largest EJEI difference between the 4 mesothelioma and the normal lung sample were then examined for differential expression using Quantitative Real Time PCR (qRT-PCR) in the 5 sequenced samples. Two of the differentially expressed exon junctions (ACTG2.aAug05 and CDK4.aAug05) were further examined with qRT-PCR in additional 18 MPM and 18 normal lung specimens. Results We found 70,953 exon junctions covered by at least one sequence read in at least one of the 5 samples. All 10 identified most differentially expressed exon junctions were validated as present by RT-PCR, and 8 were differentially expressed exactly as predicted by the sequence analysis. The differential expression of the AceView exon junctions for the ACTG2 and CDK4 genes were also observed to be statistically significant in an additional 18 MPM and 18 normal lung samples examined using qRT-PCR. The differential expression of these two junctions was shown to successfully classify these mesothelioma and normal lung specimens with high sensitivity (89% and 78%, respectively). Conclusion Whole-transcriptome shotgun sequencing, combined with a downstream bioinformatics pipeline, provides powerful tools for the identification of differentially expressed exon junctions resulting from alternative splice variants. The alternatively spliced genes discovered in the study could serve as useful diagnostic markers as well as potential therapeutic targets for MPM.
- Drop-on-Demand Single Cell Isolation and Total RNA AnalysisMoon, Sangjun; Kim, Yun-Gon; Dong, Lingsheng; Lombardi, Michael; Haeggstrom, Edward; Jensen, Roderick V.; Hsiao, Li-Li; Demirci, Utkan (PLOS, 2011-03-11)Technologies that rapidly isolate viable single cells from heterogeneous solutions have significantly contributed to the field of medical genomics. Challenges remain both to enable efficient extraction, isolation and patterning of single cells from heterogeneous solutions as well as to keep them alive during the process due to a limited degree of control over single cell manipulation. Here, we present a microdroplet based method to isolate and pattern single cells from heterogeneous cell suspensions (10% target cell mixture), preserve viability of the extracted cells (97.0±0.8%), and obtain genomic information from isolated cells compared to the non-patterned controls. The cell encapsulation process is both experimentally and theoretically analyzed. Using the isolated cells, we identified 11 stem cell markers among 1000 genes and compare to the controls. This automated platform enabling high-throughput cell manipulation for subsequent genomic analysis employs fewer handling steps compared to existing methods.
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