scholarly journals Common virulence gene expression in adult first-time infected malaria patients and severe cases

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Jan Stephan Wichers ◽  
Gerry Tonkin-Hill ◽  
Thorsten Thye ◽  
Ralf Krumkamp ◽  
Benno Kreuels ◽  
...  
Keyword(s):  
Severe Malaria ◽  
De Novo ◽  
Differential Expression Analysis ◽  
Virulence Gene ◽  
Host Responses ◽  
Rna Seq ◽  
Endothelial Protein C Receptor ◽  
Virulence Gene Expression ◽  
Infected Adult ◽  
First Time

Sequestration of Plasmodium falciparum-infected erythrocytes to host endothelium through the parasite-derived PfEMP1 adhesion proteins is central to the development of malaria pathogenesis. PfEMP1 proteins have diversified and expanded to encompass many sequence variants conferring each parasite a similar array of human endothelial receptor binding phenotypes. Here, we analyzed RNA-seq profiles of parasites isolated from 32 P. falciparum infected adult travelers returning to Germany. Patients were categorized into either malaria naïve (n=15) or pre-exposed (n=17), and into severe (n=8) or non-severe (n=24) cases. For differential expression analysis of PfEMP1-encoding var gene transcripts were de novo assembled from RNA-seq data and, in parallel, var expressed sequence tags were analyzed and used to predict the encoded domain composition of the transcripts. Both approaches showed in concordance that severe malaria was associated with PfEMP1 containing the endothelial protein C receptor (EPCR)-binding CIDRα1 domain, whereas CD36-binding PfEMP1 was linked to non-severe malaria outcomes. First-time infected adults were more likely to develop severe symptoms and tended to be infected for a longer period. Thus, parasites with more pathogenic PfEMP1 variants are more common in patients with a naïve immune status and/or adverse inflammatory host responses to first infections favors growth of EPCR-binding parasites.

scholarly journals Direct ex vivo gene expression profiling of malaria patients reveals common virulence gene expression in first-time infected patients and severe cases

2020 ◽  
Author(s):  
Jan Stephan Wichers ◽  
Gerry Tonkin-Hill ◽  
Thorsten Thye ◽  
Ralf Krumkamp ◽  
Jan Strauss ◽  
...  
Keyword(s):  
Gene Expression ◽  
Severe Malaria ◽  
Ex Vivo ◽  
Virulence Gene ◽  
Rna Seq ◽  
Endothelial Protein C Receptor ◽  
Virulence Gene Expression ◽  
First Time ◽  
Endothelial Receptor

AbstractSequestration of Plasmodium falciparum-infected erythrocytes to host endothelium through the parasite-derived PfEMP1 adhesion proteins is central to the development of malaria pathogenesis. PfEMP1 proteins have diversified and expanded to encompass many sequence variants conferring the same array of human endothelial receptor binding phenotypes. Here, we analyzed RNA-seq profiles of parasites isolated from 32 P. falciparum infected travelers returning to Germany. Patients were categorized into either malaria naïve (n=15) or pre-exposed (n=17), and into severe (n=8) or non-severe (n=24) cases. Expression analysis of PfEMP1-encoding var genes showed that severe malaria was associated with PfEMP1 containing the endothelial protein C receptor (EPCR)-binding CIDRα1 domain, whereas CD36-binding PfEMP1 was linked to non-severe malaria outcomes. In addition, gene expression-guided determination of parasite age suggested that circulating parasites from non-severe malaria patients were older than parasites from severe malaria patients. First-time infected patients were also more likely to develop severe symptoms and tended to be infected for a longer period, which thus appeared to select for parasites with more efficient sequestration and therefore more pathogenic PfEMP1 variants.

scholarly journals Dual RNA-Seq analysis of SARS-CoV-2 correlates specific human transcriptional response pathways directly to viral expression

2021 ◽  
Author(s):  
Nathan D Maulding ◽  
Spencer Seiler ◽  
Alex Pearson ◽  
Nick Kreusser ◽  
Josh Stuart
Keyword(s):  
Drug Targets ◽  
Tissue Specificity ◽  
Differential Expression Analysis ◽  
Transcriptional Response ◽  
Therapeutic Interventions ◽  
Host Responses ◽  
Rna Seq ◽  
Therapeutic Research ◽  
First Time ◽  
Therapeutic Considerations

AbstractThe SARS-CoV-2 pandemic has challenged humankind’s ability to quickly determine the cascade of health effects caused by a novel infection. Even with the unprecedented speed at which vaccines were developed and introduced into society, identifying therapeutic interventions and drug targets for patients infected with the virus remains important as new strains of the virus may evolve, or future coronaviruses may emerge, that are resistant to current vaccines. The application of transcriptomic RNA sequencing of infected samples may shed new light on the pathways involved in viral mechanisms and host responses. We describe the application of “dual RNA-seq” analysis to consider both the host and pathogen transcriptomes simultaneously, to investigate for the first time the co-regulation of human and SARS-CoV-2 genes. Together with differential expression analysis, we describe the tissue specificity of SARS-CoV-2 expression, an inferred lipopolysaccharide response, and co-regulation of CXCL’s, SPRR’s, S100’s with SARS-CoV-2 expression. Lipopolysaccharide response pathways in particular offer promise for future therapeutic research and the prospect of subgrouping patients based on chemokine expression that may help explain the vastly different reactions patients have to infection. Taken together these findings illuminate previously unappreciated SARS-CoV-2 expression signatures, identify new therapeutic considerations, and contribute a pipeline for studying multi-transcriptome systems.

scholarly journals Dual RNA-Seq Analysis of SARS-CoV-2 Correlates Specific Human Transcriptional Response Pathways Directly to Viral Expression

2021 ◽  
Author(s):  
Nathan Maulding ◽  
Spencer Seiler ◽  
Alexander Pearson ◽  
Nicholas Kreusser ◽  
Joshua Stuart
Keyword(s):  
Drug Targets ◽  
Tissue Specificity ◽  
Differential Expression Analysis ◽  
Transcriptional Response ◽  
Therapeutic Interventions ◽  
Host Responses ◽  
Rna Seq ◽  
Therapeutic Research ◽  
First Time ◽  
Therapeutic Considerations

Abstract The SARS-CoV-2 pandemic has challenged humankind’s ability to quickly determine the cascade of health effects caused by a novel infection. Even with the unprecedented speed at which vaccines were developed and introduced into society, identifying therapeutic interventions and drug targets for patients infected with the virus remains important as new strains of the virus may evolve, or future coronaviruses may emerge, that are resistant to current vaccines. The application of transcriptomic RNA sequencing of infected samples may shed new light on the pathways involved in viral mechanisms and host responses. We describe the application of “dual RNA-seq” analysis to consider both the host and pathogen transcriptomes simultaneously, to investigate for the first time the co-regulation of human and SARS-CoV-2 genes. Together with differential expression analysis, we describe the tissue specificity of SARS-CoV-2 expression, an inferred lipopolysaccharide response, and co-regulation of CXCL’s, SPRR’s, S100’s with SARS-CoV-2 expression. Lipopolysaccharide response pathways in particular offer promise for future therapeutic research and the prospect of subgrouping patients based on chemokine expression that may help explain the vastly different reactions patients have to infection. Taken together these findings illuminate previously unappreciated SARS-CoV-2 expression signatures, identify new therapeutic considerations, and contribute a pipeline for studying multi-transcriptome systems.

scholarly journals Transcriptomic and Lipidomic Analysis of Lipids in Forsythia suspensa

2021 ◽  
Vol 12 ◽  
Author(s):  
Bei Wu ◽  
Yinping Li ◽  
Wenjia Zhao ◽  
Zhiqiang Meng ◽  
Wen Ji ◽  
...  
Keyword(s):  
De Novo ◽  
Growth Stages ◽  
Rna Seq ◽  
Dynamic Regulation ◽  
Kegg Pathways ◽  
Reference Information ◽  
Forsythia Suspensa ◽  
First Time ◽  
Differential Genes ◽  
Lipid Components

Forsythiae Fructus (Lianqiao in Chinese) is widely used in traditional Chinese medicine. The lipid components in Forsythiae Fructus are the basis of plant growth and active metabolism. Samples were collected at two growth stages for a comprehensive study. Transcriptome and lipidomics were performed by using the RNA-seq and UPLC-Q-TOF-MS techniques separately. For the first time, it was reported that there were 5802 lipid components in Lianqiao comprised of 31.7% glycerolipids, 16.57% phospholipids, 13.18% sphingolipids, and 10.54% fatty acids. Lipid components such as terpenes and flavonoids have pharmacological activity, but their content was low. Among these lipids which were isolated from Forsythiae Fructus, 139 showed significant differences from the May and July harvest periods. The lipids of natural products are mainly concentrated in pregnenolones and polyvinyl lipids. RNA-Seq analysis revealed 92,294 unigenes, and 1533 of these were differentially expressed. There were 551 differential genes enriched in 119 KEGG pathways. The de novo synthesis pathways of terpenoids and flavonoids were explored. Combined with the results of lipidomics and transcriptomics, it is hypothesized that in the synthesis of abscisic acid, a terpenoid, may be under the dynamic regulation of genes EC: 1.1.1.288, EC: 1.14.14.137 and EC: 1.13.11.51 in balanced state. In the synthesis of gibberellin, GA20-oxidase (GA20ox, EC: 1.14.11.12), and GA3-oxidase (GA3ox, EC: 1.14.11.15) catalyze the production of active GAs, and EC: 1.14.11.13 is the metabolic enzymes of active GAs. In the synthesis of flavonoids, MF (multifunctional), PAL (phenylalanine ammonia-lyase), CHS (chalcone synthase), ANS (anthocyanidin synthase), FLS (flavonol synthase) are all key enzymes. The results of the present study provide valuable reference information for further research on the metabolic pathways of the secondary metabolites of Forsythia suspensa.

scholarly journals De novo Transcriptome Assembly of Senna occidentalis Sheds Light on the Anthraquinone Biosynthesis Pathway

2022 ◽  
Vol 12 ◽  
Author(s):  
Sang-Ho Kang ◽  
Woo-Haeng Lee ◽  
Joon-Soo Sim ◽  
Niha Thaku ◽  
Saemin Chang ◽  
...  
Keyword(s):  
De Novo ◽  
Transcriptome Assembly ◽  
Differential Expression Analysis ◽  
Biosynthesis Pathway ◽  
Rna Seq ◽  
Pharmacological Activities ◽  
Secondary Metabolite Biosynthesis ◽  
Long Read ◽  
Gene Expression Levels

Senna occidentalis is an annual leguminous herb that is rich in anthraquinones, which have various pharmacological activities. However, little is known about the genetics of S. occidentalis, particularly its anthraquinone biosynthesis pathway. To broaden our understanding of the key genes and regulatory mechanisms involved in the anthraquinone biosynthesis pathway, we used short RNA sequencing (RNA-Seq) and long-read isoform sequencing (Iso-Seq) to perform a spatial and temporal transcriptomic analysis of S. occidentalis. This generated 121,592 RNA-Seq unigenes and 38,440 Iso-Seq unigenes. Comprehensive functional annotation and classification of these datasets using public databases identified unigene sequences related to major secondary metabolite biosynthesis pathways and critical transcription factor families (bHLH, WRKY, MYB, and bZIP). A tissue-specific differential expression analysis of S. occidentalis and measurement of the amount of anthraquinones revealed that anthraquinone accumulation was related to the gene expression levels in the different tissues. In addition, the amounts and types of anthraquinones produced differ between S. occidentalis and S. tora. In conclusion, these results provide a broader understanding of the anthraquinone metabolic pathway in S. occidentalis.

scholarly journals Transcriptome characterization and expression profile of Coix lacryma-jobi L. in response to drought

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256875
Author(s):  
Guidong Miao ◽  
Yan Qin ◽  
Jihua Guo ◽  
Qingxia Zhang ◽  
Yingying Bao
Keyword(s):  
De Novo ◽  
Differential Expression Analysis ◽  
Global Gene Expression ◽  
Rna Seq ◽  
Transcriptional Responses ◽  
Drought Treatment ◽  
Short Read Sequencing ◽  
Real Time Quantitative Pcr ◽  
Polyadenylated Rna ◽  
Selection Of

Coix lacryma-jobi L. is a very important economic crop widely cultivated in Southeast Asia. Drought affects more than four million square kilometers every year, and is a significant factor limiting agricultural productivity. However, relatively little is known about how Coix lacryma-jobi L. responds to drought treatments. To obtain a detailed and comprehensive understanding of the mechanisms regulating the transcriptional responses of Coix lacryma-jobi L. to drought treatment, we employed high throughput short-read sequencing of cDNA prepared from polyadenylated RNA to explore global gene expression after a seven-day drought treatment. We generated a de novo assembled transcriptome comprising 65,480 unique sequences. Differential expression analysis based on RSEM-estimated transcript abundances identified 5,315 differentially expressed genes (DEGs) when comparing samples from plants following drought-treatment and from the appropriate controls. Among these, the transcripts for 3,460 genes were increased in abundance, whereas 1,855 were decreased. Real-time quantitative PCR for 5 transcripts confirmed the changes identified by RNA-Seq. The results provide a transcriptional overview of the changes in Coix lacryma-jobi L. in response to drought, and will be very useful for studying the function of associated genes and selection of molecular marker of Coix lacryma-jobi L in the future.

scholarly journals Short Chain Fatty Acids Modulate the Growth and Virulence of Pathosymbiont Escherichia coli and Host Response

Antibiotics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 462
Author(s):  
Shiying Zhang ◽  
Belgin Dogan ◽  
Cindy Guo ◽  
Deepali Herlekar ◽  
Katrina Stewart ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Virulence Gene ◽  
Short Chain Fatty Acids ◽  
Short Chain ◽  
Host Responses ◽  
Virulence Gene Expression ◽  
E Coli ◽  
The Impact ◽  
Chain Fatty Acids

Short chain fatty acids (SCFA), principally acetate, propionate, and butyrate, are produced by fermentation of dietary fibers by the gut microbiota. SCFA regulate the growth and virulence of enteric pathogens, such as enterohemorrhagic E. coli (EHEC), Klebsiella and Salmonella. We sought to investigate the impact of SCFA on growth and virulence of pathosymbiont E. coli associated with inflammatory bowel disease (IBD) and colorectal cancer (CRC), and their role in regulating host responses to bacterial infection in vitro. We found that under ileal conditions (pH = 7.4; 12 mM total SCFA), SCFA significantly (p < 0.05) potentiate the growth and motility of pathosymbiont E. coli. However, under colonic conditions (pH = 6.5; 65 to 123 mM total SCFA), SCFA significantly (p < 0.05) inhibit growth in a pH dependent fashion (up to 60%), and down-regulate virulence gene expression (e.g., fliC, fimH, htrA, chuA, pks). Functional analysis reveals that colonic SCFA significantly (p < 0.05) inhibit E. coli motility (up to 95%), infectivity (up to 60%), and type 1 fimbria-mediated agglutination (up to 50%). In addition, SCFA significantly (p < 0.05) inhibit the activation of NF-kB, and IL-8 production by epithelial cells. Our findings provide novel insights on the role of the regional chemical microenvironment in regulating the growth and virulence of pathosymbiont E. coli and opportunities for therapeutic intervention.

scholarly journals Assembly-free rapid differential gene expression analysis in non-model organisms using DNA-protein alignment

2021 ◽  
Author(s):  
Anish M.S. Shrestha ◽  
Joyce Emlyn B. Guiao ◽  
Kyle Christian R. Santiago
Keyword(s):  
Gene Expression ◽  
Differential Expression ◽  
Expression Analysis ◽  
De Novo ◽  
Transcriptome Assembly ◽  
Differential Expression Analysis ◽  
Homology Search ◽  
Model Organisms ◽  
Rna Seq ◽  
Protein Database

AbstractRNA-seq is being increasingly adopted for gene expression studies in a panoply of non-model organisms, with applications spanning the fields of agriculture, aquaculture, ecology, and environment. Conventional differential expression analysis for organisms without reference sequences requires performing computationally expensive and error-prone de-novo transcriptome assembly, followed by homology search against a high-confidence protein database for functional annotation. We propose a shortcut, where we obtain counts for differential expression analysis by directly aligning RNA-seq reads to the protein database. Through experiments on simulated and real data, we show drastic reductions in run-time and memory usage, with no loss in accuracy. A Snakemake implementation of our workflow is available at:https://bitbucket.org/project_samar/samar

scholarly journals MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data

2020 ◽  
Author(s):  
Marek Cmero ◽  
Breon Schmidt ◽  
Ian J. Majewski ◽  
Paul G. Ekert ◽  
Alicia Oshlack ◽  
...  
Keyword(s):  
De Novo ◽  
Splice Variants ◽  
Lymphoblastic Leukemia ◽  
Differential Expression Analysis ◽  
Real Data ◽  
Tumour Suppressor Gene ◽  
Rna Seq ◽  
Structural Variants ◽  
Transcriptional Variants ◽  
Tandem Duplications

AbstractGenomic rearrangements can modify gene function by altering transcript sequences, and have been shown to be drivers in both cancer and rare diseases. Although there are now many methods to detect structural variants from Whole Genome Sequencing (WGS), RNA sequencing (RNA-seq) remains under-utilised as a technology for the detection of gene altering structural variants. Calling fusion genes from RNA-seq data is well established, but other transcriptional variants such as fusions with novel sequence, tandem duplications, large insertions and deletions, and novel splicing are difficult to detect using existing approaches.To identify all types of variants in transcriptomes, we developed MINTIE, an integrated pipeline for RNA-seq data. We take a reference free approach, which combines de novo assembly of transcripts with differential expression analysis, to identify up-regulated novel variants in a case sample.We validated MINTIE on simulated and real data sets and compared it with eight other approaches for finding novel transcriptional variants. We found MINTIE was able to detect all defined variant classes at high rates (>70%) while no other method was able to achieve this.We applied MINTIE to RNA-seq data from a cohort of acute lymphoblastic leukemia (ALL) patient samples and identified several novel clinically relevant variants, including an unpartnered recurrent fusion involving the tumour suppressor gene RB1, and variants in ALL-associated genes: tandem duplications in IKZF1 and PAX5, and novel splicing in ETV6. We further demonstrate the utility of MINTIE to identify rare disease variants using RNA-seq, including the discovery of an inter-chromosomal translocation in the DMD gene in a patient with muscular dystrophy. We posit that MINTIE will be able to identify new disease variants across a range of cancers and other disease types.

scholarly journals New Pathogenesis Mechanisms and Translational Leads Identified by Multidimensional Analysis of Necrotizing Myositis in Primates

mBio ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Priyanka Kachroo ◽  
Jesus M. Eraso ◽  
Randall J. Olsen ◽  
Luchang Zhu ◽  
Samantha L. Kubiak ◽  
...  
Keyword(s):  
Nonhuman Primates ◽  
Virulence Gene ◽  
Multidimensional Analysis ◽  
Rna Seq ◽  
Content Type ◽  
Virulence Gene Expression ◽  
Genome Wide ◽  
Necrotizing Myositis ◽  
Pathogen Fitness

ABSTRACT A fundamental goal of contemporary biomedical research is to understand the molecular basis of disease pathogenesis and exploit this information to develop targeted and more-effective therapies. Necrotizing myositis caused by the bacterial pathogen Streptococcus pyogenes is a devastating human infection with a high mortality rate and few successful therapeutic options. We used dual transcriptome sequencing (RNA-seq) to analyze the transcriptomes of S. pyogenes and host skeletal muscle recovered contemporaneously from infected nonhuman primates. The in vivo bacterial transcriptome was strikingly remodeled compared to organisms grown in vitro, with significant upregulation of genes contributing to virulence and altered regulation of metabolic genes. The transcriptome of muscle tissue from infected nonhuman primates (NHPs) differed significantly from that of mock-infected animals, due in part to substantial changes in genes contributing to inflammation and host defense processes. We discovered significant positive correlations between group A streptococcus (GAS) virulence factor transcripts and genes involved in the host immune response and inflammation. We also discovered significant correlations between the magnitude of bacterial virulence gene expression in vivo and pathogen fitness, as assessed by previously conducted genome-wide transposon-directed insertion site sequencing (TraDIS). By integrating the bacterial RNA-seq data with the fitness data generated by TraDIS, we discovered five new pathogen genes, namely, S. pyogenes 0281 (Spy0281 [dahA]), ihk-irr, slr, isp, and ciaH, that contribute to necrotizing myositis and confirmed these findings using isogenic deletion-mutant strains. Taken together, our study results provide rich new information about the molecular events occurring in severe invasive infection of primate skeletal muscle that has extensive translational research implications. IMPORTANCE Necrotizing myositis caused by Streptococcus pyogenes has high morbidity and mortality rates and relatively few successful therapeutic options. In addition, there is no licensed human S. pyogenes vaccine. To gain enhanced understanding of the molecular basis of this infection, we employed a multidimensional analysis strategy that included dual RNA-seq and other data derived from experimental infection of nonhuman primates. The data were used to target five streptococcal genes for pathogenesis research, resulting in the unambiguous demonstration that these genes contribute to pathogen-host molecular interactions in necrotizing infections. We exploited fitness data derived from a recently conducted genome-wide transposon mutagenesis study to discover significant correlation between the magnitude of bacterial virulence gene expression in vivo and pathogen fitness. Collectively, our findings have significant implications for translational research, potentially including vaccine efforts.

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