scholarly journals Whole blood RNA sequencing reveals a differential transcriptomic profile associated with cervical insufficiency: a pilot study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ga-Hyun Son ◽  
So Yeon Choi ◽  
Yeon-Ji Ju ◽  
Keun-Young Lee ◽  
Jae Jun Lee ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rna Sequencing ◽  
Differentially Expressed Genes ◽  
Pregnancy Outcomes ◽  
Whole Blood ◽  
Differentially Expressed ◽  
Cervical Insufficiency ◽  
Transcriptomic Profile ◽  
Extremely Preterm ◽  
And Control

Abstract Background The uterine cervix is a mechanical and immunological barrier against ascending infection during pregnancy. Cervical insufficiency (CI), a painless cervical dilation that occurs in the mid-trimester, is an important cause of extremely preterm birth. We hypothesized that women with CI have a differential transcriptomic profile. Therefore, we compared the transcriptomic profile of peripheral blood in women with CI and that of controls. Methods RNA sequencing was used to generate the global gene expression profiles of 11 women with CI and 4 controls, and differential expression analysis was performed to identify genes showing significant expression changes between the CI (n = 11) and control (n = 4) groups as well as between the CI-preterm (n = 7) and CI-term (n = 4) groups. Gene set enrichment was assessed in terms of Gene Ontology processes, and a subset of differentially expressed genes in CI was validated in a different sample-set by qRT-PCR and ELISA. Results Thirty genes were differentially expressed between the CI and control groups. Differentially upregulated genes in the CI group included neutrophil-mediated immunity-associated (DEFA3 and ELANE) and bicarbonate transport-related genes. The serum concentration of alpha defensin 3 was significantly higher in women with CI than in controls (P = 0.014). Analysis of differential gene expression according to pregnancy outcomes revealed 338 differentially expressed genes between the CI-term and CI-preterm groups. Immune and defense response to organism-associated genes and influenza A and NOD-like receptor signaling pathways were upregulated in the CI-term group. Conclusions Our results revealed significant differences in the whole blood transcriptomic profiles of women with CI compared to those of controls. Different immune responses in women with CI may affect pregnancy outcomes.

scholarly journals Whole Blood Transcriptome Analysis in Children with Sickle Cell Anemia

2022 ◽  
Vol 12 ◽  
Author(s):  
Beatrice E. Gee ◽  
Andrea Pearson ◽  
Iris Buchanan-Perry ◽  
Roger P. Simon ◽  
David R. Archer ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rna Sequencing ◽  
Sickle Cell ◽  
Sickle Cell Anemia ◽  
Whole Blood ◽  
Differentially Expressed ◽  
Mrna Levels ◽  
Control Subjects ◽  
Non Coding Rna ◽  
And Control

Whole transcriptome RNA-sequencing was performed to quantify RNA expression changes in whole blood samples collected from steady state sickle cell anemia (SCA) and control subjects. Pediatric SCA and control subjects were recruited from Atlanta (GA)—based hospital(s) systems and consented for RNA sequencing. RNA sequencing was performed on an Ion Torrent S5 sequencer, using the Ion Total RNA-seq v2 protocol. Data were aligned to the hg19 reference genome and analyzed in the Partek Genomics studio package (v7.0). 223 genes were differentially expressed between SCA and controls (± 1.5 fold change FDR p < 0.001) and 441 genes show differential transcript expression (± 1.5 fold FDR p < 0.001). Differentially expressed RNA are enriched for hemoglobin associated genes and ubiquitin-proteasome pathway genes. Further analysis shows higher gamma globin gene expression in SCA (33-fold HBG1 and 49-fold HBG2, both FDR p < 0.05), which did not correlate with hemoglobin F protein levels. eQTL analysis identified SNPs in novel non-coding RNA RYR2 gene as having a potential regulatory role in HBG1 and HBG2 expression levels. Gene expression correlation identified JHDM1D-AS1(KDM7A-DT), a non-coding RNA associated with angiogenesis, enhanced GATA1 and decreased JAK-STAT signaling to correlate with HBG1 and HBG2 mRNA levels. These data suggest novel regulatory mechanisms for fetal hemoglobin regulation, which may offer innovative therapeutic approaches for SCA.

scholarly journals RNA Sequencing revealed differentially expressed genes functionally associated with immunity and tumor suppression during latent phase infection of a vv + MDV in chickens

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Kunzhe Dong ◽  
Shuang Chang ◽  
Qingmei Xie ◽  
Peng Zhao ◽  
Huanmin Zhang
Keyword(s):  
Gene Expression ◽  
Rna Sequencing ◽  
Differentially Expressed Genes ◽  
Host Defense ◽  
Tumor Suppression ◽  
Genetic Resistance ◽  
Early Mortality ◽  
Differentially Expressed ◽  
Sequencing Analysis ◽  
Latent Phase

Abstract Very virulent plus Marek’s disease (MD) virus (vv + MDV) induces tumors in relatively resistant lines of chickens and early mortality in highly susceptible lines of chickens. The vv + MDV also triggers a series of cellular responses in both types of chickens. We challenged birds sampled from a highly inbred chicken line (line 63) that is relatively resistant to MD and from another inbred line (line 72) that is highly susceptible to MD with a vv + MDV. RNA-sequencing analysis was performed with samples extracted from spleen tissues taken at 10-day and 21-day post infection (dpi). A total of 64 and 106 differentially expressed genes was identified in response to the vv + MDV challenge at latent phase in the resistant and susceptible lines of chickens, respectively. Direct comparisons between samples of the two lines identified 90 and 126 differentially expressed genes for control and MDV challenged groups, respectively. The differentially expressed gene profiles illustrated that intensive defense responses were significantly induced by vv + MDV at 10 dpi and 21 dpi but with slight changes in the resistant line. In contrast, vv + MDV induced a measurable suppression of gene expression associated with host defense at 10 dpi but followed by an apparent activation of the defense response at 21 dpi in the susceptible line of chickens. The observed difference in gene expression between the two genetic lines of chickens in response to MDV challenge during the latent phase provided a piece of indirect evidence that time points for MDV reactivation differ between the genetic lines of chickens with different levels of genetic resistance to MD. Early MDV reactivation might be necessary and potent to host defense system readiness for damage control of tumorigenesis and disease progression, which consequently results in measurable differences in phenotypic characteristics including early mortality (8 to 20 dpi) and tumor incidence between the resistant and susceptible lines of chickens. Combining differential gene expression patterns with reported GO function terms and quantitative trait loci, a total of 27 top genes was selected as highly promising candidate genes for genetic resistance to MD. These genes are functionally involved with virus process (F13A1 and HSP90AB1), immunity (ABCB1LB, RGS5, C10ORF58, OSF-2, MMP7, CXCL12, GAL1, GAL2, GAL7, HVCN1, PDE4D, IL4I1, PARP9, EOMES, MPEG1, PDK4, CCLI10, K60 and FST), and tumor suppression (ADAMTS2, LXN, ARRDC3, WNT7A, CLDN1 and HPGD). It is anticipated that these findings will facilitate advancement in the fundamental understanding on mechanisms of genetic resistance to MD. In addition, such advancement may also provide insights on tumor virus-induced tumorigenesis in general and help the research community recognize MD study may serve as a good model for oncology study involving tumor viruses.

Whole Blood Transcriptional Profiling of DLBCL At Diagnosis: Evidence of Systemic Changes Altering T-Cell Signaling Pathways

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2435-2435
Author(s):  
Delphine Rossille ◽  
Céline Pangault ◽  
Xavier Cahu ◽  
Thierry Lamy ◽  
Burgun Anita ◽  
...  
Keyword(s):  
Gene Expression ◽  
Healthy Volunteers ◽  
Signaling Pathways ◽  
Differentially Expressed Genes ◽  
Whole Blood ◽  
Transcriptional Profiling ◽  
The Body ◽  
Differentially Expressed ◽  
Cytokine Signaling ◽  
Upregulated Genes

Abstract Abstract 2435 DLBCLs are the most prevalent lymphomas in adults and great advances have been made in understanding molecular effects on tumor cells as well as tissue environment, leading to determining gene prognosis signatures using transcriptional profiling techniques. As blood cells interact with cells in almost all tissues in the body, blood-derived total RNA gene expressions have been investigated for the past years including for solid cancers [Clin Cancer Res. 2006:3374.], infections [Nature 2010;446:973.] and autoimmune disorders [Genes Immun. 2010;11:269., Immunity 2008;29:150.]. Blood-based microarray approaches were able to identify differentially expressed genes distinguishing patients from healthy volunteers. Interested in the potential of this noninvasive and easy-to-use technique, we hypothesized that aggressive DLBCLs at diagnosis cause molecular perturbations on the whole blood allowing identifying gene expression differentiation compared to healthy controls. Whole blood was collected into PAXgene™ Blood RNA tubes ensuring blood stabilization and sent within 24 hours to be stored at −80°C before extraction. Our study involved high-quality RNA samples from 75 DLBCL patients taken at diagnosis prior to any anti-cancer treatment and 87 healthy volunteers, sex and gender matched. All patients were less than 60 and enrolled in a multicentric & prospective clinical trial for aggressive form of DLBCL, GOELAMS 075, which compares the autologous stem cell treatment to regular R-CHOP procedure. The median age was 52 for patients and 48 for controls. Gene expression profiling (GEP) was assessed using Affymetrix GeneChip® Human Exon 1.0 ST arrays. Unsupervised hierarchical clustering analysis (HCA) distinguished DLBCLs from controls. Two gene lists were identified based on HCA (Figure 1): listA consisted in 3,323 upregulated genes for a subgroup of patients and inversely, listB in 2,966 upregulated genes for controls. Canonical pathways were generated for both lists for genes meeting p<5% and FC >1.2 through the use of IPA (Ingenuity® Systems). The upregulated genes for patients (listA) were found associated with cytokine signaling pathways (Interleukins, NF-κB) while the down-regulated genes (listB) were implicated in T lymphocytes signaling pathways. Further investigations of the dataset by univariate analysis (Mann-Whitney test, FDR<5%, FC >1.5) found 1047 differentially expressed genes, confirming the systemic alteration. A set of 20 genes, selected as the best predictive genes for which the misclassification error rate is minimal, was able to discriminate DLBCLs from control samples (sensitivity= 88% & specificity=95%). No correlation was found between genes and biological parameters such as hemoglobin, leucocytes, lymphocytes, platelets or polynuclear neutrophils. The down-regulated genes were located in the nucleus and involved in transcription deregulation, DNA repair and apoptosis. Upregulated genes were related to the immune response as well as the inflammatory response with for instance S100 proteins which are implicated in myeloid-derived suppressor cell biology. Conclusion: Despite the complex mixture of cell types in blood, whole blood has shown strong systemic perturbations in DLBCLs at diagnosis. Biological investigation indicated an over-expression of the inflammation and immune responses combined to perturbations of the T-lymphocyte pattern. Our findings concerning inflammation-related gene expression including NF-κB activation and upregulated cytokine transcripts, with for instance IL-1, IL-6 & IL-10, invite us to determine whether a specific DLBCL-induced inflammation process exists compared to other nonmalignant diseases [Clin Microbiol Rev. 2002 Jul; 15(3):414-29]. Comparison to other lymphoma and inflammatory diseases as well as with tumor status are under way allowing to better characterizing DLBCL-specific biomarkers. These results shed new lights on DLBCL biology deciphering disease's heterogeneity at the RNA whole blood level. They encourage us to investigate whole blood GEP for prognosis and as a new parameter useful for disease classification. Disclosures: No relevant conflicts of interest to declare.

Analysis of Differentially Expressed Genes in Prunus persica for the Treatment of Hypoxia Using Generalized Linear Models

2020 ◽  
Vol 17 (9) ◽  
pp. 4183-4189
Author(s):  
Nisha Baid ◽  
Preethi Meghadri ◽  
Vinai G. Biju ◽  
Blessy B. Mathew ◽  
C. M. Prashanth
Keyword(s):  
Gene Expression ◽  
Rna Sequencing ◽  
Differentially Expressed Genes ◽  
Generalized Linear Models ◽  
Prunus Persica ◽  
Linear Models ◽  
Expression Patterns ◽  
High Capacity ◽  
Differentially Expressed ◽  
Root Tissues

The gene structure of organisms gets altered when exposed to an abnormal condition which could adversely affect the growth of the target. RNA sequencing can be deployed to identify diseasecausing mutations in the genes of patients for whom genetic analysis failed to return a diagnosis. One such disease is Hypoxia, a condition in which there is a deficiency in the availability of oxygen in the tissues. RNA sequencing helps in analyzing the global expression patterns of hypoxia and in understanding the cellular alterations of those suffering from it. It gives an understanding of the comprehensive regulation of the gene expression by environmental spur or specific factors which can be used to diagnose and treat hypoxia before it gets fatal. Prunus persica is a plant which has a high capacity for anoxic tolerance, and analyzing the gene expression changes which are associated to hypoxia treatments in the root tissues of two genotypes of the peach plant (Flooding tolerant and Flooding sensitive) can prevent physiological disorders. Further, gene ontology is used to cover three domains-cellular component, molecular function and biological processes related to the differentially expressed genes. We use Generalized Linear Models here, to find the differentially expressed genes in Prunus persica when exposed to the conditions of Hypoxia (Absence of Oxygen) and Normoxia (Excess of Oxygen) and find their Ontologies and genomic pathways to understand and diagnose the Processes that are most affected.

scholarly journals Identification of hypoxia-specific biomarkers in salmonids using RNA-sequencing and validation using high-throughput qPCR

2020 ◽  
Author(s):  
Arash Akbarzadeh ◽  
Aimee Lee S. Houde ◽  
Ben J.G. Sutherland ◽  
Oliver P. Günther ◽  
Kristina M. Miller
Keyword(s):  
Gene Expression ◽  
Dissolved Oxygen ◽  
Rna Sequencing ◽  
Differentially Expressed Genes ◽  
Chinook Salmon ◽  
Differentially Expressed ◽  
Early Gene ◽  
Hypoxic Stress ◽  
Rna Seq ◽  
Anthropogenic Habitat

AbstractIdentifying early gene expression responses to hypoxia (i.e., low dissolved oxygen) as a tool to assess the degree of exposure to this stressor is crucial for salmonids, because they are increasingly exposed to hypoxic stress due to anthropogenic habitat change, e.g., global warming, excessive nutrient loading, and persistent algal blooms. Our goal was to discover and validate gill gene expression biomarkers specific to the hypoxia response in salmonids across multi-stressor conditions. Gill tissue was collected from 24 freshwater juvenile Chinook salmon (Oncorhynchus tshawytscha), held in normoxia [dissolved oxygen (DO) > 8 mg L−1] and hypoxia (DO = 4□5 mg L−1) in 10 and 18°C temperatures for up to six days. RNA-sequencing (RNA-seq) was then used to discover 240 differentially expressed genes between hypoxic and normoxic conditions, but not affected by temperature. The most significantly differentially expressed genes had functional roles in the cell cycle and suppression of cell proliferation associated with hypoxic conditions. The most significant genes (n = 30) were selected for real-time qPCR assay development. These assays demonstrated a strong correlation (r = 0.88; p < 0.001) between the expression values from RNA-seq and the fold changes from qPCR. Further, qPCR of the 30 candidate hypoxia biomarkers was applied to an additional 322 Chinook salmon exposed to hypoxic and normoxic conditions to reveal the top biomarkers to define hypoxic stress. Multivariate analyses revealed that smolt stage, water salinity, and morbidity status were relevant factors to consider with the expression of these genes in relation to hypoxic stress. These hypoxia candidate genes will be put into application screening Chinook salmon to determine the identity of stressors impacting the fish.

scholarly journals Changes in gene expression at the CD160 locus in the whole blood of sepsis patients.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Expression Analysis ◽  
Whole Blood ◽  
Gene Expression Analysis ◽  
Differentially Expressed ◽  
Blood Gene Expression ◽  
Non Coding Rna ◽  
Long Non Coding Rna

Sepsis is a leading cause of mortality (1). We mined published datasets from the whole blood of patients with sepsis to identify differentially expressed genes in the septic state (2, 3). We found changes in CD160 expression as among the most significant quantitative differences in sepsis whole blood gene expression. Analysis of a separate dataset (4) demonstrated significant repression of a long non-coding RNA produced at the CD160 locus in the blood of patients with sepsis. In the datasets we analyzed, changes in coding and non-coding gene expression at the CD160 locus were among the most significant changes in gene expression in the blood of patients with sepsis.

scholarly journals High SLC7A11 Expression Is Correlated With Poor Prognosis and Associated With Ferroptosis in Ovarian Cancer 

2021 ◽  
Author(s):  
Mengqi Deng ◽  
Yanqin Zhang ◽  
Xiangyu Chang ◽  
Di Wu ◽  
Chunyu Xu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Protein Expression ◽  
Differentially Expressed Genes ◽  
Poor Prognosis ◽  
Bioinformatic Analysis ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Normal Tissues ◽  
And Control

Abstract The current treatments of ovarian cancer (OC) do not yield satisfactory outcomes. Hence, it is necessary to find new treatment targets for OC. In this study, a comprehensive bioinformatic analysis was conducted to identify differentially expressed genes (DEGs) between OC and control tissues. Five datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened by comparing gene expression between OC and control tissues. Module analysis of DEGs was performed on the STRING database and GEPIA. Kaplan Meier plotter and GEPIA database analysis the overall survival. Finally, SLC7A11 was found to be is the hubgene. And we confirm that the protein expression of SLC7A11 was increased in OC tissues. Analysis of a variety of tumor gene databases showed that SLC7A11 gene regulated the processes of OC. The low mutation rate of the gene (which were of amplified type) and high mRNA expression were associated with poor prognosis of OC patients.Using erastin-treated ovarian cancer (OC) cell lines, we examined the relationship between ferroptosis and OC. Results showed that OC tissues contained higher malondialdehyde (MDA) levels than normal tissues. Unlike normal ovarian epithelial cells which are not sensitive to erastin, the OC cell line, ES-2 is very sensitive to erastin. Here, we found that ferrostatin-1 treatment increased levels of reactive oxygen species (ROS), malondialdehyde, and SLC7A11 protein expression. These results provide an important theoretical basis for further studies into the role of SLC7A11, the effective biomarker and potential drug target, in the occurrence and development of OC.

scholarly journals ViDGER: An R package for integrative interpretation of differential gene expression results of RNA-seq data

2018 ◽  
Author(s):  
Adam McDermaid ◽  
Brandon Monier ◽  
Jing Zhao ◽  
Qin Ma
Keyword(s):  
Gene Expression ◽  
Rna Sequencing ◽  
Differential Gene Expression ◽  
Differentially Expressed Genes ◽  
R Package ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Differential Gene

AbstractDifferential gene expression (DGE) is one of the most common applications of RNA-sequencing (RNA-seq) data. This process allows for the elucidation of differentially expressed genes (DEGs) across two or more conditions. Interpretation of the DGE results can be non-intuitive and time consuming due to the variety of formats based on the tool of choice and the numerous pieces of information provided in these results files. Here we present an R package, ViDGER (Visualization of Differential Gene Expression Results using R), which contains nine functions that generate information-rich visualizations for the interpretation of DGE results from three widely-used tools, Cuffdiff, DESeq2, and edgeR.

scholarly journals Coding and non-coding RNAs transcribed at the RORA locus (ROR𝛂) are differentially expressed in the whole blood of sepsis patients.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Expression Analysis ◽  
Whole Blood ◽  
Gene Expression Analysis ◽  
Differentially Expressed ◽  
Blood Gene Expression ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Long Non Coding Rna

Sepsis is a leading cause of mortality (1). We mined published datasets from the whole blood of patients with sepsis to identify differentially expressed genes in the septic state (2, 3). We found changes in RORA expression as among the most significant quantitative differences in sepsis whole blood gene expression. Analysis of a separate dataset (4) demonstrated significant repression of a long non-coding RNA produced at the RORA locus in the blood of patients with sepsis.

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