scholarly journals Transcriptome Sequencing of the Spleen Reveals Antiviral Response Genes in Chickens Infected with CAstV

Viruses ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2374
Author(s):  
Joanna Sajewicz-Krukowska ◽  
Jan Paweł Jastrzębski ◽  
Maciej Grzybek ◽  
Katarzyna Domańska-Blicharz ◽  
Karolina Tarasiuk ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Egg Production ◽  
Global Analysis ◽  
Antiviral Response ◽  
Differentially Expressed ◽  
P Value ◽  
Rna Seq ◽  
Qrt Pcr

Astrovirus infections pose a significant problem in the poultry industry, leading to multiple adverse effects such as a decreased egg production, breeding disorders, poor weight gain, and even increased mortality. The commonly observed chicken astrovirus (CAstV) was recently reported to be responsible for the “white chicks syndrome” associated with an increased embryo/chick mortality. CAstV-mediated pathogenesis in chickens occurs due to complex interactions between the infectious pathogen and the immune system. Many aspects of CAstV–chicken interactions remain unclear, and there is no information available regarding possible changes in gene expression in the chicken spleen in response to CAstV infection. We aim to investigate changes in gene expression triggered by CAstV infection. Ten 21-day-old SPF White Leghorn chickens were divided into two groups of five birds each. One group was inoculated with CAstV, and the other used as the negative control. At 4 days post infection, spleen samples were collected and immediately frozen at −70 °C for RNA isolation. We analyzed the isolated RNA, using RNA-seq to generate transcriptional profiles of the chickens’ spleens and identify differentially expressed genes (DEGs). The RNA-seq findings were verified by quantitative reverse-transcription PCR (qRT-PCR). A total of 31,959 genes was identified in response to CAstV infection. Eventually, 45 DEGs (p-value < 0.05; log2 fold change > 1) were recognized in the spleen after CAstV infection (26 upregulated DEGs and 19 downregulated DEGs). qRT-PCR performed on four genes (IFIT5, OASL, RASD1, and DDX60) confirmed the RNA-seq results. The most differentially expressed genes encode putative IFN-induced CAstV restriction factors. Most DEGs were associated with the RIG-I-like signaling pathway or more generally with an innate antiviral response (upregulated: BLEC3, CMPK2, IFIT5, OASL, DDX60, and IFI6; downregulated: SPIK5, SELENOP, HSPA2, TMEM158, RASD1, and YWHAB). The study provides a global analysis of host transcriptional changes that occur during CAstV infection in vivo and proves that, in the spleen, CAstV infection in chickens predominantly affects the cell cycle and immune signaling.

scholarly journals Gene Expression and Alternative Splicing Datasets Analyses of MDS with Ring Sideroblasts Highlight Alternative Branchpoint Usage in Genes Involved in Iron Metabolism and Erythropoiesis

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1972-1972
Author(s):  
Abderrahmane Bousta ◽  
Sabrina Bondu ◽  
Alexandre Houy ◽  
Nicolas Cagnard ◽  
Carine Lefevre ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Iron Metabolism ◽  
Target Genes ◽  
Differentially Expressed ◽  
P Value ◽  
Rna Seq ◽  
Splice Sites ◽  
Gene Sets ◽  
Ring Sideroblasts

Abstract Introduction SF3B1 hotspot mutations are associated with various cancers like uveal melanoma, chronic lymphocytic leukemia and myelodysplastic syndrome with ring sideroblasts (MDS-RS). These mutations affect RNA splicing by the use of alternative branchpoints resulting in an aberrant 3' splice site (ss) selection. RNA-sequencing (RNA-seq) analyzed to quantify exon-exon junctions identified aberrantly spliced transcripts in target genes, and half of them are predicted to be degraded by non-sense mediated decay. For this reason, target genes in SF3B1-mutated MDS remain partially characterized. In the present study, we performed deep RNA-seq analysis of bone marrow mononuclear cells in low/int-1 MDS with SF3B1 mutations to identify aberrant/cryptic splicing events among up or down-regulated gene sets. Methods SF3B1 MUT MDS (n=21) were compared to 6 SF3B1WT cases and 5 controls. Analysis of RNA-seq read count was performed using the Voom method associated with the Limma empirical Bayes analysis pipeline (https://genomebiology.biomedcentral.com/articles/10.1186/gb-2014-15-2-r29). Up or downregulated gene sets were identified using Gene Set Enrichment Analysis (GSEA, false discovery rate<0.1). Gene expression profiling data (Affymetrix Hu2.0) were also available for 26/27 patient samples. TopHat (v2.0.6) was used to align the reads against the human reference genome Hg19 RefSeq (RNA sequences, GRCh37) downloaded from the UCSC Genome Browser (http://genome.ucsc.edu). Read counts for splicing junctions from junctions.bed TopHat output were considered for a differential analysis using DESeq2. Only alternative acceptor splice sites (two or more 3′ss with junctions to the same 5′ss) and alternative donor splice sites (two or more 5′ss with junctions to the same 3′ss) with P-values ≤10−5 (Benjamini-Hochberg) and absolute Log2 (fold change) ≥1 were considered. Results Principal component analysis (PCA) nicely discriminated controls from patients, and patients according to the presence of a SF3B1 mutation. A set of 6971 genes was differently expressed (P- value<0.05) between SF3B1MUT and SF3B1WT cases and allows unsupervised clustering in two separated groups (Fig. 1). Distinct gene sets also discriminated SF3B1MUT or SF3B1WT from controls. Consistent with increased amount of erythroblasts in MDS-RS bone marrows, a set of erythroid genes including several genes involved in hemebiosynthesis pathway (ALAD, UROS, ALAS2, UROD) was significantly enriched in SF3B1MUT samples. Genes selected for their involvement in the core iron-sulfur cluster mitochondrial machinery (FXN, BOLA3, FDXR, GLRX5, ISCA2, NFS1, ISCU), the iron binding and trafficking (SLC25A38, ABCB10, TFR2, SLC25A37, ABCB6, FAM132B, SLC25A39, FTH1) and the cellular iron homeostasis (ACO1, ACO2, GLRX3) were also significantly enriched (FDR<10% and nominal P-value<0.05) when input in GSEA. Moreover, other enriched gene sets were G2M checkpoint, MYC targets, oxidative phosphorylation and E2F targets. All of these observations were similarly obtained when analyzing Affymetrix data. Furthermore SF3B1MUT samples with a K700E substitution harbored a specific pattern of deregulated genes, which allowed the ordering of SF3B1MUT samples according to the type of substitution. As previously reported by AlsafadiS et al (2016), analysis of splice junctions using DESeq2 revealed an overall high level of differences between SF3B1MUT and SF3B1WTsamples. Among more than 540 differentially spliced junctions, more than 80% involved an aberrant acceptor (3'ss) site. As determined by PCA, the top 50 genes associated with relevant aberrant junctions were linked to iron metabolism or erythropoiesis and differentially expressed between SF3B1MUT and SF3B1WTsamples. Conclusion In this study, we combined robust analyses of gene expression and aberrantly spliced transcript expression in MDS with SF3B1 mutation. By comparing SF3B1MUTversus SF3B1WT samples, we identified a set of deregulated genes in which both normally and aberrantly spliced transcripts were detected that could contribute to the physiopathology of MDS-RS. Figure 1 Hierarchical clustering and heatmapshowing differentially expressed genes (P-value<0.05) between SF3B1MUT (n=21, black) and SF3B1WT samples (n=6, grey) Ref. Alsafadi S et al. Nat Commun. 2016 Feb 4;7:10615. Figure 1. Hierarchical clustering and heatmapshowing differentially expressed genes (P-value<0.05) between SF3B1MUT (n=21, black) and SF3B1WT samples (n=6, grey) Ref. Alsafadi S et al. Nat Commun. 2016 Feb 4;7:10615. Disclosures No relevant conflicts of interest to declare.

scholarly journals HIV-1 Infection Transcriptomics: Meta-Analysis of CD4+ T Cells Gene Expression Profiles

Viruses ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 244 ◽  
Author(s):  
Antonio Victor Campos Coelho ◽  
Rossella Gratton ◽  
João Paulo Britto de Melo ◽  
José Leandro Andrade-Santos ◽  
Rafael Lima Guimarães ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Differentially Expressed Genes ◽  
Cd4 T Cells ◽  
Expression Profiles ◽  
Meta Analysis ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Infected Cells ◽  
Hiv 1

HIV-1 infection elicits a complex dynamic of the expression various host genes. High throughput sequencing added an expressive amount of information regarding HIV-1 infections and pathogenesis. RNA sequencing (RNA-Seq) is currently the tool of choice to investigate gene expression in a several range of experimental setting. This study aims at performing a meta-analysis of RNA-Seq expression profiles in samples of HIV-1 infected CD4+ T cells compared to uninfected cells to assess consistently differentially expressed genes in the context of HIV-1 infection. We selected two studies (22 samples: 15 experimentally infected and 7 mock-infected). We found 208 differentially expressed genes in infected cells when compared to uninfected/mock-infected cells. This result had moderate overlap when compared to previous studies of HIV-1 infection transcriptomics, but we identified 64 genes already known to interact with HIV-1 according to the HIV-1 Human Interaction Database. A gene ontology (GO) analysis revealed enrichment of several pathways involved in immune response, cell adhesion, cell migration, inflammation, apoptosis, Wnt, Notch and ERK/MAPK signaling.

Abstract 286: Long Noncoding RNAs Are Differentially Expressed in Heart Failure

2012 ◽  
Vol 111 (suppl_1) ◽  
Author(s):  
Emma L Robinson ◽  
Syed Haider ◽  
Hillary Hei ◽  
Richard T Lee ◽  
Roger S Foo
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Significant Proportion ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Control Of Gene Expression ◽  
Failing Heart ◽  
Novel Transcripts ◽  
Non Coding Rnas

Heart failure comprises of clinically distinct inciting causes but a consistent pattern of change in myocardial gene expression supports the hypothesis that unifying biochemical mechanisms underlie disease progression. The recent RNA-seq revolution has enabled whole transcriptome profiling, using deep-sequencing technologies. Up to 70% of the genome is now known to be transcribed into RNA, a significant proportion of which is long non-coding RNAs (lncRNAs), defined as polyribonucleotides of ≥200 nucleotides. This project aims to discover whether the myocardium expression of lncRNAs changes in the failing heart. Paired end RNA-seq from a 300-400bp library of ‘stretched’ mouse myocyte total RNA was carried out to generate 76-mer sequence reads. Mechanically stretching myocytes with equibiaxial stretch apparatus mimics pathological hypertrophy in the heart. Transcripts were assembled and aligned to reference genome mm9 (UCSC), abundance determined and differential expression of novel transcripts and alternative splice variants were compared with that of control (non-stretched) mouse myocytes. Five novel transcripts have been identified in our RNA-seq that are differentially expressed in stretched myocytes compared with non-stretched. These are regions of the genome that are currently unannotated and potentially are transcribed into non-coding RNAs. Roles of known lncRNAs include control of gene expression, either by direct interaction with complementary regions of the genome or association with chromatin remodelling complexes which act on the epigenome.Changes in expression of genes which contribute to the deterioration of the failing heart could be due to the actions of these novel lncRNAs, immediately suggesting a target for new pharmaceuticals. Changes in the expression of these novel transcripts will be validated in a larger sample size of stretched myocytes vs non-stretched myocytes as well as in the hearts of transverse aortic constriction (TAC) mice vs Sham (surgical procedure without the aortic banding). In vivo investigations will then be carried out, using siLNA antisense technology to silence novel lncRNAs in mice.

P135 MAJOR GENE REGULATORS AFFECTED IN COLON AND BLOOD OF DEXTRAN SODIUM SULFATE ACUTE COLITIS MURINE MODEL

2020 ◽  
Vol 26 (Supplement_1) ◽  
pp. S32-S32
Author(s):  
Reza Yarani ◽  
Oana Palasca ◽  
Nadezhda Tsankova Doncheva ◽  
Christian Anthon ◽  
Bartosz Pilecki ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Intestinal Inflammation ◽  
Major Gene ◽  
Clinical Manifestations ◽  
Ease Of Use ◽  
Differentially Expressed ◽  
In Vivo Studies ◽  
P Value ◽  
Sequencing Analysis

Abstract Background Dextran sulfate sodium (DSS) ulcerative colitis (UC) murine models have long been used for in vivo studies. DSS is a negatively charged polysaccharide with colitogenic properties. Although the mechanisms by which DSS induces intestinal inflammation are not fully understood, there are several good reasons why the DSS chemical colitis model for investigating the immunopathogenesis mechanism of UC is widely used. These include strong phenotypic clinical manifestations which emulate numerous clinical and histopathological features of human UC, ease of use, low mortality rate and high reproducibility. Here, by using high-throughput RNA sequencing analysis we set to investigate the major predicted gene regulators (GRs) affected by differentially expressed genes in the DSS treated UC model in order to obtain regulatory insights into the pathogenic mechanisms of UC development. Methods A DSS-induced mouse model of UC was established. Total RNA from colon tissue and blood of 3 healthy and 3 DSS-treated mice was extracted and sequenced by Illumina HiSeq 4000. Gene expression levels were obtained by mapping and quantification to the annotated mouse genome. Subsequently, differential gene expression analysis between DSS-treated and control mice both in colon and blood was performed. Ingenuity pathway analysis software (IPA®, Qiagen) was used to predict/identify major GRs affected by significantly differentially expressed genes (SDEGs, FC &gt; |2|, p ≤0.05) in both colon and blood. Results Our analysis revealed how many and which major GRs are affected in DSS-treated mice and also the direction of change as compared to healthy (untreated) mice. In colon, 595 activated and 198 inhibited major GRs (p-value of overlap ≤0.05) in relation to ∼ 3180 SDEGs were identified, while in blood, we identified 205 activated and 62 inhibited GRs (in relation to ∼650 SDEGs). Colon and blood share 181 activated and 41 inhibited GRs. Identified GRs include transcription regulators, cytokines, transmembrane receptors and enzymes that mainly contribute to the development of inflammatory/immune responses. In colon and blood, the top 10 activated and inhibited regulators with the highest positive and negative activation z-score with target molecules as well as expression in the datasets are indicated in Figure 1a and 1b, respectively. Conclusion In this study, we analyzed linkage of GRs to SDEGs through coordinated expression and identified potential major regulators that have significant effect on UC pathogenic-related gene expression. These GRs seem to be the key regulators of transcriptomic changes induced by inflammation. These findings expand our molecular understanding of putative new targets that may be important in the pathophysiology of UC and provide biological insights into the observed expression changes between the UC and healthy controls.

RNA-seq analysis of non-muscular invasive bladder cancer to reveal different gene expression profiles between smoking and non-smoking patients.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 478-478
Author(s):  
Zhichao Fu ◽  
Shenghua Liu ◽  
Jianfei Wang ◽  
Ning He ◽  
Yadong Yang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bladder Cancer ◽  
Tumor Progression ◽  
Urothelial Carcinoma ◽  
Differentially Expressed Genes ◽  
Poor Prognosis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Differentially Expressed ◽  
Rna Seq

478 Background: Bladder cancer is the ninth most common malignancy in the world, approximately 75% of patients are diagnosed with non-muscle invasive bladder cancer (NMIBC). Smoking has been established to be a carcinogenic risk factor of bladder cancer. Nevertheless, the detailed relationship between smoking and progression of NMIBC are poorly understood. In this study, we revealed high expressed genes in smoking patients were significantly related to tumor progression in NMIBC patients. Methods: A total of 54 NMIBC patients including 19 never smokers and 35 smokers (current smokers and previous smokers) were enrolled in this study.The gene expression profiles were obtained by RNA-seq and the differentially expressed genes between smoking and non-smoking patients were identified using DESeq2 .The further analysis of the association between genes expression and patient survival in NMIBC cohorts(Jakob et al., 2016)and IMvigor 210 cohorts(Jonathan et al., 2016)by Kaplan-Meier survival estimate. Results: We identified 46 differentially expressed genes (p<0.05) in smoking and non-somking NMIBC patients. IDO1 and KRT14 gene, which related to bladder cancer progression and poor prognosis, was identified significantly higher expressed in somking group compared with non-smoking and they have a logFC of 2.6,3.9 with FDR 1.83E-5,3.40E-5 respectively. The expression of other genes, including KRT6A, CASP14, SERPINA1, MYO3A and IL20RB, were significantly higher in smoking patients compared to non-somking. Notably, survival data analysis from 476 NMIBC cohorts showed that IL20RB had a significant relationship with poor PFS(p = 0.021) and in the Mvigor 210 Cohort including 310 advanced or metastatic urothelial carcinoma patients treated with atezolizumab, we found that the high expression of IL20RB was significantly related to poor OS(p = 0.002). Conclusions: We identified 14 genes related to tumor progression were significantly higher in smoking NMIBC patients than in non-smoking. Among these genes, the expression of IL20RB was related to the poor prognosis of NMIBC, and it may correlates with reduced clinical benefit of immunotherapeutic in patients with urothelial carcinoma.

Comparing the mRNA Expression Profile of Psoas Major and Longissimus Dorsi Muscles in Pig

2020 ◽  
Author(s):  
Yuanyuan Zhao ◽  
Guoqing Cao ◽  
Pengfei Gao ◽  
Guifang Jia ◽  
Fei Yang ◽  
...  
Keyword(s):  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Longissimus Dorsi ◽  
Rna Seq ◽  
Illumina Hiseq ◽  
Longissimus Dorsi Muscle ◽  
Qrt Pcr ◽  
Psoas Major Muscle ◽  
Types Of Muscle Fibers ◽  
Psoas Major

To explore the differentially expressed mRNAs between oxidative and glycolytic muscles, Qianbei black pigs were slaughtered and longissimus dorsi muscle (LDM) and psoas major muscle (PMM) were selected and sequenced using Illumina Hiseq TM 4000. Bioinformatics analysis and differentially expressed genes were analyzed by GO and KEGG. qRT-PCR was used to validate the RNA-seq result. As a result, 69 differentially expressed genes were identified, with 46 down regulated genes and 23 up regulated genes in LDM versus PMM, which were categorized into 44 functional groups under three GO classifications. KEGG pathway analysis revealed 20 pathways were enriched. qRT-PCR shows the expression trends of ND6, MYH7, TBX1, FOS and SLC7A5 are consist with the RNA-seq result. We speculated these five genes may involve in differentiation of muscle cells, metabolism of carbohydrate and lipid, deposits of intramuscular fat and transformation of different types of muscle fibers.

scholarly journals Transcriptomic analysis reveals distinct resistant response by physcion and chrysophanol against cucumber powdery mildew

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1991 ◽  
Author(s):  
Yanping Li ◽  
Shilin Tian ◽  
Xiaojun Yang ◽  
Xin Wang ◽  
Yuhai Guo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Disease Resistance ◽  
Powdery Mildew ◽  
Differentially Expressed Genes ◽  
Expression Patterns ◽  
Defense Responses ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Sequencing Data ◽  
Transcriptional Change

Physcion and chrysophanol induce defense responses against powdery mildew in cucumbers. The combination of these two compounds has synergistic interaction against the disease. We performed RNA-seq on cucumber leaf samples treated with physcion and chrysophanol alone and with their combination. We generated 17.6 Gb of high-quality sequencing data (∼2 Gb per sample) and catalogued the expressions profiles of 12,293 annotated cucumber genes in each sample. We identified numerous differentially expressed genes that exhibited distinct expression patterns among the three treatments. The gene expression patterns of the Chr and Phy treatments were more similar to each other than to the Phy × Chr treatment. The Phy × Chr treatment induced the highest number of differentially expressed genes. This dramatic transcriptional change after Phy × Chr treatment leaves reflects that physcion combined with chrysophanol treatment was most closely associated with induction of disease resistance. The analysis showed that the combination treatment caused expression changes of numerous defense-related genes. These genes have known or potential roles in structural, chemical and signaling defense responses and were enriched in functional gene categories potentially responsible for cucumber resistance. These results clearly demonstrated that disease resistance in cucumber leaves was significantly influenced by the combined physcion and chrysophanol treatment. Thus, physcion and chrysophanol are appealing candidates for further investigation of the gene expression and associated regulatory mechanisms related to the defense response.

scholarly journals RUNX1 Deficiency Cooperates with SRSF2 Mutation to Further Disrupt RNA Splicing and Exacerbate Myelodysplastic Syndromes in Mouse Models

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1796-1796 ◽  
Author(s):  
Yi-Jou Huang ◽  
Ming Yan ◽  
Jia-Yu Chen ◽  
Liang Chen ◽  
Eunhee Kim ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Rna Splicing ◽  
Double Mutant ◽  
Mutant Mice ◽  
Differentially Expressed ◽  
Differential Splicing ◽  
Single Mutant ◽  
Mutant Cells

Abstract Myelodysplastic syndromes (MDS) and leukemias require the acquisition of multiple mutations during disease development resulting in clonal diversity and different responses. Splicing factors, transcription factors, epigenetic regulators, and cell signaling proteins are the common molecular events mutated during disease evolution and those events rarely occur alone. However, it remains unclear how the combinations of mutations in different categories may have cooperative effects in gene regulation and disease etiology. Mutations in the splicing factor SRSF2 and the transcription factor RUNX1 are closely associated in MDS patients, and their co-existence is linked to poor prognosis. To understand the functional contribution of the coexistence in vivo, we utilized Mx1-Cre based conditional knock-in Srsf2-P95H mutation (P95H/+) mice, and Mx1-Cre based Runx1 conditional knockout mice (Runx1 f/f). We crossed these two strains to establish a new mouse model with inducible double mutations (Srsf2 P95H/+ Runx1Δ/Δ). Double mutant mice showed pancytopenia with MDS features including severe leukopenia in multiple lineages, macrocytic anemia, thrombocytopenia, and dysplastic morphology in peripheral blood. Double mutant mice also displayed more dramatic skewing toward the myeloid lineage at the expense of the B cell lineage when compared to single mutant mice. In competitive bone marrow transplantation assays, SRSF2 P95H cooperated with RUNX1 deficiency to confer a competitive disadvantage in vivo. To investigate the mechanistic basis of this cooperation, differential splicing and gene expression were assessed by RNA sequencing of Lineage- c-kit+ cells isolated from WT, SRSF2 P95H, RUNX1 KO, and Double mutant bone marrow cells. Interestingly, deletion of the Runx1 gene alone resulted in significant changes to RNA splicing in 1120 genes, while the SRSF2 P95H mutation itself induced splicing changes in 935 genes. Furthermore, 2468 splice junctions in 1677 genes showed splicing changes in double mutant samples compared to wildtype controls. Among these altered splicing events, intriguingly, exon skipping was the major alteration in single and double mutants. Furthermore, the double mutant demonstrated increased aberrant splicing events when compared to the single mutants alone. We performed pathway analysis using the differentially spliced genes identified in double mutant cells. Pathways in cancer, DNA replication/repair, cell death and survival, hematological disease and inflammatory response were enriched. Splicing changes were detected in genes recurrently mutated in blood malignancies, including Fanca, Fance, Fancl, Ezh2, Atm, Gnas, Braf, Bcor, Fyn, and Wsb1 as well as in genes critical for splicing regulation, such as Srsf6, Fus, Hnrnpa2b1, and Srrm2. Gene expression analysis revealed 869 significantly differentially expressed genes in double mutant cells. Within the events in the double mutant population, 60% of the differentially expressed genes were also observed in RUNX1 single mutant cells, while only 2% of the differentially expressed genes were observed in SRSF2 single mutant cells, and 38% of the differentially expressed genes were uniquely presented in the double mutant cells. These results suggest that the gene expression program is heavily affected by loss of RUNX1 and the coexistence of an SRSF2 mutation contributes to certain synergistic effects in transcriptional regulation. Furthermore, we identified 101 genes that showed both differential splicing and expression, including Jak3, Jag2, Csf3r, Fcer1g, CD244 which are important in hematologic disorders. Together, these results suggest that the deficiency of compound RUNX1 and SRSF2 P95H mutations impairs multi-lineage hematopoiesis and exacerbates the disease phenotypes caused by single mutations alone. At the genome-wide level, loss of the transcription factor RUNX1 itself dysregulates splicing outcomes and cooperates with the splicing factor SRSF2 P95H mutation to further perturb the expression and splicing of key regulators involved in hematopoietic stem/progenitor cell development, inflammatory responses, DNA damage, and RNA splicing. Disclosures No relevant conflicts of interest to declare.

scholarly journals Potential Drug Prediction of Glioblastoma Based on Drug Perturbation-Induced Gene Expression Signatures

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Bochi Zhu ◽  
Xijing Mao ◽  
Yuhong Man
Keyword(s):  
Gene Expression ◽  
Drug Discovery ◽  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Potential Drug ◽  
Rna Seq ◽  
Key Factors ◽  
Gene Set ◽  
Gene Expression Signatures ◽  
Key Drivers

Objectives. Glioblastoma (GBM) is a malignant brain tumor which is the most common and aggressive type of central nervous system cancer, with high morbidity and mortality. Despite lots of systematic studies on the molecular mechanism of glioblastoma, the pathogenesis is still unclear, and effective therapies are relatively rare with surgical resection as the frequently therapeutic intervention. Identification of fundamental molecules and gene networks associated with initiation is critical in glioblastoma drug discovery. In this study, an approach for the prediction of potential drug was developed based on perturbation-induced gene expression signatures. Methods. We first collected RNA-seq data of 12 pairs of glioblastoma samples and adjacent normal samples from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by DESeq2, and coexpression networks were analyzed with weighted gene correlation network analysis (WGCNA). Furthermore, key driver genes were detected based on the differentially expressed genes and potential chemotherapeutic drugs and targeted drugs were found by correlating the gene expression profiles with drug perturbation database. Finally, RNA-seq data of glioblastoma from The Cancer Genome Atlas (TCGA) dataset was collected as an independent validation dataset to verify our findings. Results. We identified 1771 significantly DEGs with 446 upregulated genes and 1325 downregulated genes. A total of 24 key drivers were found in the upregulated gene set, and 81 key drivers were found in the downregulated gene set. We screened the Crowd Extracted Expression of Differential Signatures (CREEDS) database to identify drug perturbations that could reverse the key factors of glioblastoma, and a total of 354 drugs were obtained with p value < 10-10. Finally, 7 drugs that could turn down the expression of upregulated factors and 3 drugs that could reverse the expression of downregulated key factors were selected as potential glioblastoma drugs. In addition, similar results were obtained through the analysis of TCGA as independent dataset. Conclusions. In this study, we provided a framework of workflow for potential therapeutic drug discovery and predicted 10 potential drugs for glioblastoma therapy.

6 EXPRESSION PROFILING OF SINGLE BOVINE EMBRYOS REVEALS SIGNIFICANT EFFECTS OF IN VITRO MATURATION, FERTILIZATION AND CULTURE

2006 ◽  
Vol 18 (2) ◽  
pp. 111
Author(s):  
S. L. Smith ◽  
L.-Y. Sung ◽  
R. Page ◽  
B. Henderson ◽  
F. Du ◽  
...  
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Oocyte Maturation ◽  
Expression Profiling ◽  
Bovine Serum ◽  
In Vitro Maturation ◽  
Differentially Expressed ◽  
In Vitro Oocyte Maturation

Cattle and sheep embryos transferred after in vitro production are often afflicted by large offspring syndrome (LOS), which has been correlated with the presence of serum and/or cell co-culture. Previous research indicates that post-fertilization culture affects blastocyst quality and gene expression, and in vitro oocyte maturation and fertilization impact developmental competence. To dissect the effects of in vitro maturation, fertilization, and culture, we compared the expression profiles of single bovine blastocysts generated by: (1) in vitro maturation, fertilization and culture (IVF, n = 15); (2) in vivo maturation, in vivo fertilization, and in vitro culture (IVD, n = 14); and (3) in vivo maturation, fertilization, and development (AI, n = 14). For in vitro culture, the embryos were cultured for 2 days in CR1aa medium with bovine serum albumin (BSA) and then transferred to CR1aa with 10% fetal bovine serum (FBS) with cumulus cells until Day 7, at which time the embryos were vitrified. IVD zygotes were surgically collected from two superovulated Holstein donor cows 24 h post-insemination and cultured in the same system. To conduct expression profiling, total RNA was isolated from individual thawed embryos. The RNA was subjected to three rounds of amplification utilizing a previously adapted and validated T7 linear amplification protocol. Amplified RNA from each embryo and from a standard reference was indirectly labeled with Cy3 or Cy5 by dye swap and hybridized to a custom bovine cDNA microarray containing ~6300 unique genes. After Loess normalization, an ANOVA model (GeneSpring 6.1 and SAS 9.0) was used to identify differentially expressed genes. The P-values were adjusted for multiple comparisons using the false discovery rate approach, and a e2-fold differential criterion was applied. A subset of the differentially expressed genes was verified by real-time RT-PCR. The blastocyst rates for IVF and IVD embryos were 37% and 75%, respectively. There were 305, 365, and 200 genes differentially expressed between the AI and IVD, the IVF and IVD, and the AI and IVF comparisons, respectively. Interestingly, 44 differentially expressed genes were identified between the AI embryos and both the IVF and the IVD embryos, making these potential candidates for LOS. There were 61 genes differentially expressed between the IVF embryos and the AI and IVD embryos. The Gene Ontology categories 'RNA processing' and 'RNA binding' were over-represented among the genes that were down-regulated in the IVF embryos, indicating an effect of in vitro oocyte maturation/fertilization on embryonic gene expression. This work was supported by USDA grants to X.Y., H.A.L., and X.C.T.

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