scholarly journals Identifying biomarkers for evaluating wound extent and age in the contused muscle of rats using microarray analysis: a pilot study

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12709
Author(s):  
Na Li ◽  
Chun Li ◽  
Dan Li ◽  
Li-hong Dang ◽  
Kang Ren ◽  
...  
Keyword(s):  
Age Estimation ◽  
Function Analysis ◽  
Expression Profiles ◽  
Cell Lineage ◽  
Gene Expression Profiles ◽  
Principal Component ◽  
Wound Age ◽  
Fisher Discriminant Analysis ◽  
Severe Injuries ◽  
Forensic Practice

Wound age estimation is still one of the most important and significant challenges in forensic practice. The extent of wound damage greatly affects the accuracy and reliability of wound age estimation, so it is important to find effective biomarkers to help diagnose wound degree and wound age. In the present study, the gene expression profiles of both mild and severe injuries in 33 rats were assayed at 0, 1, 3, 24, 48, and 168 hours using the Affymetrix microarray system to provide biomarkers for the evaluation of wound age and the extent of the wound. After obtaining thousands of differentially expressed genes, a principal component analysis, the least absolute shrinkage and selection operator, and a time-series analysis were used to select the most predictive prognostic genes. Finally, 15 genes were screened for evaluating the extent of wound damage, and the top 60 genes were also screened for wound age estimation in mild and severe injury. Selected indicators showed good diagnostic performance for identifying the extent of the wound and wound age in a Fisher discriminant analysis. A function analysis showed that the candidate genes were mainly related to cell proliferation and the inflammatory response, primarily IL-17 and the Hematopoietic cell lineage signalling pathway. The results revealed that these genes play an essential role in wound-healing and yield helpful and valuable potential biomarkers for further targeted studies.

scholarly journals Transcriptional and Physiological Analyses to Assess the Effects of a Novel Biostimulant in Tomato

2022 ◽  
Vol 12 ◽  
Author(s):  
Maria Cristina Della Lucia ◽  
Ali Baghdadi ◽  
Francesca Mangione ◽  
Matteo Borella ◽  
Walter Zegada-Lizarazu ◽  
...  
Keyword(s):  
Water Stress ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Principal Component ◽  
Negative Effects ◽  
Nutrient Metabolism ◽  
Tomato Plants ◽  
Reverse Transcription Pcr ◽  
Osmotic Stress Tolerance

This work aimed to study the effects in tomato (Solanum lycopersicum L.) of foliar applications of a novel calcium-based biostimulant (SOB01) using an omics approach involving transcriptomics and physiological profiling. A calcium-chloride fertilizer (SOB02) was used as a product reference standard. Plants were grown under well-watered (WW) and water stress (WS) conditions in a growth chamber. We firstly compared the transcriptome profile of treated and untreated tomato plants using the software RStudio. Totally, 968 and 1,657 differentially expressed genes (DEGs) (adj-p-value < 0.1 and |log2(fold change)| ≥ 1) were identified after SOB01 and SOB02 leaf treatments, respectively. Expression patterns of 9 DEGs involved in nutrient metabolism and osmotic stress tolerance were validated by real-time quantitative reverse transcription PCR (RT-qPCR) analysis. Principal component analysis (PCA) on RT-qPCR results highlighted that the gene expression profiles after SOB01 treatment in different water regimes were clustering together, suggesting that the expression pattern of the analyzed genes in well water and water stress plants was similar in the presence of SOB01 treatment. Physiological analyses demonstrated that the biostimulant application increased the photosynthetic rate and the chlorophyll content under water deficiency compared to the standard fertilizer and led to a higher yield in terms of fruit dry matter and a reduction in the number of cracked fruits. In conclusion, transcriptome and physiological profiling provided comprehensive information on the biostimulant effects highlighting that SOB01 applications improved the ability of the tomato plants to mitigate the negative effects of water stress.

scholarly journals Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles

Cells ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 245 ◽  
Author(s):  
Y-h. Taguchi ◽  
Hsiuying Wang
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Principal Component ◽  
Signs And Symptoms ◽  
Microarray Gene Expression ◽  
Kegg Pathways ◽  
Healthy Control ◽  
Physical Examinations

Parkinson’s disease (PD) is a chronic, progressive neurodegenerative disease characterized by both motor and nonmotor features. The diagnose of PD is based on a review of patients’ signs and symptoms, and neurological and physical examinations. So far, no tests have been devised that can conclusively diagnose PD. In this study, we explore both microRNA and gene biomarkers for PD. Microarray gene expression profiles for PD patients and healthy control are analyzed using a principal component analysis (PCA)-based unsupervised feature extraction (FE). 244 genes are selected to be potential gene biomarkers for PD. In addition, we implement these genes into Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and find that the 15 microRNAs (miRNAs), hsa-miR-92a-3p, 16-5p, 615-3p, 877-3p, 100-5p, 320a, 877-5p, 23a-3p, 484, 23b-3p, 15a-5p, 324-3p, 19b-3p, 7b-5p and 505-3p, significantly target these 244 genes. These miRNAs are shown to be significantly related to PD. This reveals that both selected genes and miRNAs are potential biomarkers for PD.

scholarly journals PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kota Fujisawa ◽  
Mamoru Shimo ◽  
Y.-H. Taguchi ◽  
Shinya Ikematsu ◽  
Ryota Miyata
Keyword(s):  
Gene Expression ◽  
Feature Extraction ◽  
Target Genes ◽  
Gene Selection ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Principal Component ◽  
Data Set ◽  
Immune Related Genes ◽  
Unsupervised Feature Extraction

AbstractCoronavirus disease 2019 (COVID-19) is raging worldwide. This potentially fatal infectious disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the complete mechanism of COVID-19 is not well understood. Therefore, we analyzed gene expression profiles of COVID-19 patients to identify disease-related genes through an innovative machine learning method that enables a data-driven strategy for gene selection from a data set with a small number of samples and many candidates. Principal-component-analysis-based unsupervised feature extraction (PCAUFE) was applied to the RNA expression profiles of 16 COVID-19 patients and 18 healthy control subjects. The results identified 123 genes as critical for COVID-19 progression from 60,683 candidate probes, including immune-related genes. The 123 genes were enriched in binding sites for transcription factors NFKB1 and RELA, which are involved in various biological phenomena such as immune response and cell survival: the primary mediator of canonical nuclear factor-kappa B (NF-κB) activity is the heterodimer RelA-p50. The genes were also enriched in histone modification H3K36me3, and they largely overlapped the target genes of NFKB1 and RELA. We found that the overlapping genes were downregulated in COVID-19 patients. These results suggest that canonical NF-κB activity was suppressed by H3K36me3 in COVID-19 patient blood.

scholarly journals Correlating cellular and molecular signatures of mucosal immunity that distinguish HIV controllers from noncontrollers

Blood ◽  
2010 ◽  
Vol 115 (15) ◽  
pp. e20-e32 ◽  
Author(s):  
P'ng Loke ◽  
David Favre ◽  
Peter W. Hunt ◽  
Jacqueline M. Leung ◽  
Bittoo Kanwar ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
T Cells ◽  
Expression Profiles ◽  
Transcriptional Profiling ◽  
Gene Expression Profiles ◽  
Principal Component ◽  
Immune Deficiency Syndrome ◽  
Deficiency Syndrome ◽  
Type I ◽  
Hiv Controllers

Abstract HIV “controllers” are persons infected with human immunodeficiency virus, type I (HIV) who maintain long-term control of viremia without antiviral therapy and who usually do not develop the acquired immune deficiency syndrome (AIDS). In this study, we have correlated results from polychromatic flow cytometry and oligonucleotide expression arrays to characterize the mucosal immune responses of these subjects in relation to untreated HIV+ persons with high viral loads and progressive disease (“noncontrollers”). Paired peripheral blood and rectosigmoid biopsies were analyzed from 9 controllers and 11 noncontrollers. Several cellular immune parameters were found to be concordant between the 2 compartments. Compared with noncontrollers, the mucosal tissues of controllers had similar levels of effector T cells and fewer regulatory T cells (Tregs). Using principal component analysis to correlate immunologic parameters with gene expression profiles, transcripts were identified that accurately distinguished between controllers and noncontrollers. Direct 2-way comparison also revealed genes that are significantly different in their expression between controllers and noncontrollers, all of which had reduced expression in controllers. In addition to providing an approach that integrates flow cytometry datasets with transcriptional profiling analysis, these results underscore the importance of the sustained inflammatory response that attends progressive HIV disease.

scholarly journals Genome-wide characterization and expression analysis of aquaporins in salt cress (Eutrema salsugineum)

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7664
Author(s):  
Weiguo Qian ◽  
Xiaomin Yang ◽  
Jiawen Li ◽  
Rui Luo ◽  
Xiufeng Yan ◽  
...  
Keyword(s):  
Function Analysis ◽  
Expression Profiles ◽  
Critical Role ◽  
Water Channel ◽  
Gene Expression Profiles ◽  
Salt Resistance ◽  
Abiotic Stress Response ◽  
Salt Cress ◽  
Genome Wide ◽  
Eutrema Salsugineum

Aquaporins (AQPs) serve as water channel proteins and belong to major intrinsic proteins (MIPs) family, functioning in rapidly and selectively transporting water and other small solutes across biological membranes. Importantly, AQPs have been shown to play a critical role in abiotic stress response pathways of plants. As a species closely related to Arabidopsis thaliana, Eutrema salsugineum has been proposed as a model for studying salt resistance in plants. Here we surveyed 35 full-length AQP genes in E. salsugineum, which could be grouped into four subfamilies including 12 plasma membrane intrinsic proteins (PIPs), 11 tonoplast intrinsic proteins (TIPs), nine NOD-like intrinsic proteins (NIPs), and three small basic intrinsic proteins (SIPs) by phylogenetic analysis. EsAQPs were comprised of 237–323 amino acids, with a theoretical molecular weight (MW) of 24.31–31.80 kDa and an isoelectric point (pI) value of 4.73–10.49. Functional prediction based on the NPA motif, aromatic/arginine (ar/R) selectivity filter, Froger’s position and specificity-determining position suggested quite differences in substrate specificities of EsAQPs. EsAQPs exhibited global expressions in all organs as shown by gene expression profiles and should be play important roles in response to salt, cold and drought stresses. This study provides comprehensive bioinformation on AQPs in E. salsugineum, which would be helpful for gene function analysis for further studies.

Genetic and cytokine profiles associated with symptomatic stage of CLL.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 7062-7062
Author(s):  
Amit Balkrishna Agarwal ◽  
Laurence Cooke ◽  
Christopher Riley ◽  
David Mount ◽  
Daruka Mahadevan
Keyword(s):  
Gene Expression ◽  
Early Stage ◽  
Function Analysis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Serum Cytokine ◽  
Hematopoietic Stem ◽  
Cytokine Profiles ◽  
High Stage ◽  
Cytokine Profiling

7062 Background: Pathogenesis of symptomatic CLL involves genetic changes associated with the CLL clone and changes within the microenvironment which contribute to chemo-resistance. To further understand these processes we compared early stage CLL to symptomatic late stage CLL using gene expression profiling as well as serum cytokine profiling for a better insight of the genetic and microenvironment changes associated with the most severe forms of the disease. Methods: We obtained pretreatment blood samples from CLL patients (10 low stage and 14 high stage) at the time of diagnosis. Patients were classified as low stage (Rai stage 0/I/II) and high stage (Rai stage III/IV). Gene expression profiles were obtained on a subset of patients using the HG-U133A 2.0 Affymetrix platform and analyzed for differential gene expression profiles. Serum from a subset of patients was used to perform cytokine profiling using the Raybiotech Cytokine Array platform (AAH-CYT-G1000) that allows for simultaneous measurement of >100 different cytokines. Results: Comparison of low versus high stage CLL revealed a set of 21 differentially expressed genes. 15 genes were up regulated in the high stage versus low stage, while 6 genes were down regulated. GO Molecular function analysis revealed that 9 of the 21 genes are involved in transcription factor activity. Other genes up regulated in the high stage group include CSNK1- shown to be involved in Myc derived oncogenesis and SETD8- a histone lysine methyltransferase previously implicated in several cancers. Serum cytokine profiles showed 6 cytokines to be significantly different in high stage patients. Two chemokines SDF-1/CXCL12 and uPAR known to be involved in stem cell mobilization and homing are increased in the serum of high stage patients. IGFBP-2, BMP-4 and MCP-4 were lower among high stage patients. Conclusions: Our study revealed a novel group of transcription factors are associated with higher stage CLL. Cytokine profiling showed increased levels of SDF-1/CXCL12, a chemokine that plays a key role in mobilization and homing of hematopoietic stem and CLL cells in high stage patients. Our study identifies putative therapeutic targets including CSNK1, SDF-1 and SETD8 for patients with high stage CLL.

Hox gene expression profiles during embryonic development of common sole

2019 ◽  
Vol 69 (2) ◽  
pp. 183-198
Author(s):  
Menelaos Kavouras ◽  
Emmanouil E. Malandrakis ◽  
Eleni Golomazou ◽  
Ioannis Konstantinidis ◽  
Ewout Blom ◽  
...  
Keyword(s):  
Gene Expression ◽  
Embryonic Development ◽  
First Generation ◽  
Profile Analysis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Pairwise Comparison ◽  
Principal Component ◽  
Valuable Insight ◽  
Common Sole

Abstract Common sole (Solea solea) aquaculture production is based mostly on wild-caught breeders. Recently, the successful reproduction of first-generation fish that were reared in captivity was accomplished. A consistent good quality and quantity of produced eggs throughout the year, and of next-generation broodstock, is important for reducing the overall cost of production. Hox genes play a pivotal role in normal embryonic development and alterations of their temporal expression level may be important for egg viability. Expression profile analysis of five hox genes (hoxa1a, hoxa2a, hoxa2b, hoxb1a and hoxb1b) involved in early embryonic development and of hoxa13a, which is involved in late stages, was carried out. Results revealed a premature and/or maternal expression of hoxa13a in sole embryos, and the detection of hoxa2a and hoxa2b genes as members of paralog group 2. Principal Component Analysis of hox gene expression in 54 ± 6 hours post fertilization embryos coming from wild-caught broodstock and a first-generation one reared in the hatchery, unveiled that these broodstocks are clearly distinct. In addition, their pairwise comparison revealed significant differences in the expression levels of hoxb1a and hoxb1b genes. Hox gene regulation during embryonic development could give valuable insight into rearing sole broodstocks with different origin in concert, and also into gaining a steady mass production of eggs, either in quality or quantity, all year round.

Global transcriptional characterization of SP and MP cells from the myogenic C2C12 cell line: effect of FGF6

2005 ◽  
Vol 23 (2) ◽  
pp. 132-149 ◽  
Author(s):  
Charles Decraene ◽  
Rachid Benchaouir ◽  
Marie-Agnes Dillies ◽  
David Israeli ◽  
Sylvie Bortoli ◽  
...  
Keyword(s):  
Cell Line ◽  
Side Population ◽  
Expression Profiles ◽  
C2c12 Cell ◽  
Gene Expression Profiles ◽  
Principal Component ◽  
Staining Techniques ◽  
Hoechst Staining ◽  
Immature Cells

With the use of Hoechst staining techniques, we have previously shown that the C2C12 myogenic cell line contains a side population (SP) that is largely increased in the presence of fibroblast growth factor 6 (FGF6). Here, we compared transcriptional profiles from SP and main population (MP) cells from either C2C12 or FGF6-expressing C2C12. Expression profiles of SPs show that these cells are less differentiated than MPs and display some similarities to stem cells. Moreover, principal component analysis made it possible to distinguish specific contributions of either FGF6 or differentiation effects on gene expression profiles. This demonstrated that FGF6-expanded SPs were similar to parental C2C12-derived SPs. Conversely, FGF6-treated MPs differed from parental MPs and were more related to SP cells. These results show that FGF6 pushed committed myogenic cells toward a more immature phenotype resulting in the accumulation of cells with a SP phenotype. We propose that FGF6 conditioning could provide a way to expand the pool of immature cells by myoblast dedifferentiation.

scholarly journals Genes of the GadX-GadW Regulon in Escherichia coli

2003 ◽  
Vol 185 (10) ◽  
pp. 3190-3201 ◽  
Author(s):  
Don L. Tucker ◽  
Nancy Tucker ◽  
Zhuo Ma ◽  
John W. Foster ◽  
Regina L. Miranda ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Target Genes ◽  
Expression Profiles ◽  
Bacterial Colonization ◽  
Gene Expression Profiles ◽  
Acid Resistance ◽  
Principal Component ◽  
Growth Conditions ◽  
Negative Control ◽  
Wild Type

ABSTRACT Acid in the stomach is thought to be a barrier to bacterial colonization of the intestine. Escherichia coli, however, has three systems for acid resistance, which overcome this barrier. The most effective of these systems is dependent on transport and decarboxylation of glutamate. GadX regulates two genes that encode isoforms of glutamate decarboxylase critical to this system, but additional genes associated with the glutamate-dependent acid resistance system remained to be identified. The gadX gene and a second downstream araC-like transcription factor gene, gadW, were mutated separately and in combination, and the gene expression profiles of the mutants were compared to those of the wild-type strain grown in neutral and acidified media under conditions favoring induction of glutamate-dependent acid resistance. Cluster and principal-component analyses identified 15 GadX-regulated, acid-inducible genes. Reverse transcriptase mapping demonstrated that these genes are organized in 10 operons. Analysis of the strain lacking GadX but possessing GadW confirmed that GadX is a transcriptional activator under acidic growth conditions. Analysis of the strain lacking GadW but possessing GadX indicated that GadW exerts negative control over three GadX target genes. The strain lacking both GadX and GadW was defective in acid induction of most but not all GadX target genes, consistent with the roles of GadW as an inhibitor of GadX-dependent activation of some genes and an activator of other genes. Resistance to acid was decreased under certain conditions in a gadX mutant and even more so by combined mutation of gadX and gadW. However, there was no defect in colonization of the streptomycin-treated mouse model by the gadX mutant in competition with the wild type, and the gadX gadW mutant was a better colonizer than the wild type. Thus, E. coli colonization of the mouse does not appear to require glutamate-dependent acid resistance.

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