scholarly journals Transcriptomic Analysis of Starch Biosynthesis in the Developing Grain of Hexaploid Wheat

2009 ◽  
Vol 2009 ◽  
pp. 1-23 ◽  
Author(s):  
Boryana S. Stamova ◽  
Debbie Laudencia-Chingcuanco ◽  
Diane M. Beckles
Keyword(s):  
Gene Expression ◽  
Dna Microarrays ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Soluble Sugars ◽  
Starch Synthesis ◽  
Gene Families ◽  
Starch Accumulation ◽  
Protein Accumulation ◽  
High Accumulation

The expression of genes involved in starch synthesis in wheat was analyzed together with the accumulation profiles of soluble sugars, starch, protein, and starch granule distribution in developing caryopses obtained from the same biological materials used for profiling of gene expression using DNA microarrays. Multiple expression patterns were detected for the different starch biosynthetic gene isoforms, suggesting their relative importance through caryopsis development. Members of the ADP-glucose pyrophosphorylase, starch synthase, starch branching enzyme, and sucrose synthase gene families showed different expression profiles; expression of some members of these gene families coincided with a period of high accumulation of starch while others did not. A biphasic pattern was observed in the rates of starch and protein accumulation which paralleled changes in global gene expression. Metabolic and regulatory genes that show a pattern of expression similar to starch accumulation and granule size distribution were identified, suggesting their coinvolvement in these biological processes.

Building Gene Networks by Analyzing Gene Expression Profiles

2019 ◽  
pp. 27-44
Author(s):  
Crescenzio Gallo
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Gene Networks ◽  
Dna Microarrays ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Expression Data ◽  
Gene Expressions ◽  
Over Time

The possible applications of modeling and simulation in the field of bioinformatics are very extensive, ranging from understanding basic metabolic paths to exploring genetic variability. Experimental results carried out with DNA microarrays allow researchers to measure expression levels for thousands of genes simultaneously, across different conditions and over time. A key step in the analysis of gene expression data is the detection of groups of genes that manifest similar expression patterns. In this chapter, the authors examine various methods for analyzing gene expression data, addressing the important topics of (1) selecting the most differentially expressed genes, (2) grouping them by means of their relationships, and (3) classifying samples based on gene expressions.

An FLT3 gene-expression signature predicts clinical outcome in normal karyotype AML

Blood ◽  
2008 ◽  
Vol 111 (9) ◽  
pp. 4490-4495 ◽  
Author(s):  
Lars Bullinger ◽  
Konstanze Döhner ◽  
Raphael Kranz ◽  
Christoph Stirner ◽  
Stefan Fröhling ◽  
...  
Keyword(s):  
Gene Expression ◽  
Clinical Outcome ◽  
Dna Microarrays ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Signature ◽  
Normal Karyotype ◽  
Mutation Status ◽  
Signature Genes ◽  
Starting Point

Abstract Acute myeloid leukemia with normal karyotype (NK-AML) represents a cytogenetic grouping with intermediate prognosis but substantial molecular and clinical heterogeneity. Within this subgroup, presence of FLT3 (FMS-like tyrosine kinase 3) internal tandem duplication (ITD) mutation predicts less favorable outcome. The goal of our study was to discover gene-expression patterns correlated with FLT3-ITD mutation and to evaluate the utility of a FLT3 signature for prognostication. DNA microarrays were used to profile gene expression in a training set of 65 NK-AML cases, and supervised analysis, using the Prediction Analysis of Microarrays method, was applied to build a gene expression–based predictor of FLT3-ITD mutation status. The optimal predictor, composed of 20 genes, was then evaluated by classifying expression profiles from an independent test set of 72 NK-AML cases. The predictor exhibited modest performance (73% sensitivity; 85% specificity) in classifying FLT3-ITD status. Remarkably, however, the signature outperformed FLT3-ITD mutation status in predicting clinical outcome. The signature may better define clinically relevant FLT3 signaling and/or alternative changes that phenocopy FLT3-ITD, whereas the signature genes provide a starting point to dissect these pathways. Our findings support the potential clinical utility of a gene expression–based measure of FLT3 pathway activation in AML.

scholarly journals Comparison of two different host plant genera responding to grapevine leafroll-associated virus 3 infection

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Cecilia A. Prator ◽  
Kar Mun Chooi ◽  
Dan Jones ◽  
Marcus W. Davy ◽  
Robin M. MacDiarmid ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Model Organism ◽  
Gene Expression Profiles ◽  
Gene Families ◽  
Host Responses ◽  
Narrow Host Range ◽  
Host Interactions ◽  
Physiological Processes

Abstract Grapevine leafroll-associated virus 3 (GLRaV-3) is one of the most important viruses of grapevine but, despite this, there remain several gaps in our understanding of its biology. Because of its narrow host range - limited to Vitis species - and because the virus is restricted to the phloem, most GLRaV-3 research has concentrated on epidemiology and the development of detection assays. The recent discovery that GLRaV-3 can infect Nicotiana benthamiana, a plant model organism, makes new opportunities available for research in this field. We used RNA-seq to compare both V. vinifera and P1/HC-Pro N. benthamiana host responses to GLRaV-3 infection. Our analysis revealed that the majority of DEGs observed between the two hosts were unique although responses between the two hosts also showed several shared gene expression results. When comparing gene expression patterns that were shared between the two hosts, we observed the downregulation of genes associated with stress chaperones, and the induction of gene families involved in primary plant physiological processes. This is the first analysis of gene expression profiles beyond Vitis to mealybug-transmitted GLRaV-3 and demonstrates that N. benthamiana could serve as a useful tool for future studies of GLRaV-3-host interactions.

Building Gene Networks by Analyzing Gene Expression Profiles

2018 ◽  
pp. 440-454
Author(s):  
Crescenzio Gallo
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Gene Networks ◽  
Dna Microarrays ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Expression Data ◽  
Gene Expressions ◽  
Over Time

The possible applications of modeling and simulation in the field of bioinformatics are very extensive, ranging from understanding basic metabolic paths to exploring genetic variability. Experimental results carried out with DNA microarrays allow researchers to measure expression levels for thousands of genes simultaneously, across different conditions and over time. A key step in the analysis of gene expression data is the detection of groups of genes that manifest similar expression patterns. In this chapter we examine various methods for analyzing gene expression data, addressing the important topics of (1) selecting the most differentially expressed genes, (2) grouping them by means of their relationships, and (3) classifying samples based on gene expressions.

scholarly journals Comprehensive Comparison of Amnion Stromal Cells and Chorion Stromal Cells by RNA-Seq

2021 ◽  
Vol 22 (4) ◽  
pp. 1901
Author(s):  
Brielle Jones ◽  
Chaoyang Li ◽  
Min Sung Park ◽  
Anne Lerch ◽  
Vimal Jacob ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stromal Cells ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Principal Component ◽  
Differentially Expressed ◽  
Inflammatory Factor ◽  
Next Generation Sequencing Technology ◽  
Angiogenic Potential ◽  
Anti Inflammatory

Mesenchymal stromal cells derived from the fetal placenta, composed of an amnion membrane, chorion membrane, and umbilical cord, have emerged as promising sources for regenerative medicine. Here, we used next-generation sequencing technology to comprehensively compare amniotic stromal cells (ASCs) with chorionic stromal cells (CSCs) at the molecular and signaling levels. Principal component analysis showed a clear dichotomy of gene expression profiles between ASCs and CSCs. Unsupervised hierarchical clustering confirmed that the biological repeats of ASCs and CSCs were able to respectively group together. Supervised analysis identified differentially expressed genes, such as LMO3, HOXA11, and HOXA13, and differentially expressed isoforms, such as CXCL6 and HGF. Gene Ontology (GO) analysis showed that the GO terms of the extracellular matrix, angiogenesis, and cell adhesion were significantly enriched in CSCs. We further explored the factors associated with inflammation and angiogenesis using a multiplex assay. In comparison with ASCs, CSCs secreted higher levels of angiogenic factors, including angiogenin, VEGFA, HGF, and bFGF. The results of a tube formation assay proved that CSCs exhibited a strong angiogenic function. However, ASCs secreted two-fold more of an anti-inflammatory factor, TSG-6, than CSCs. In conclusion, our study demonstrated the differential gene expression patterns between ASCs and CSCs. CSCs have superior angiogenic potential, whereas ASCs exhibit increased anti-inflammatory properties.

scholarly journals Discovering Distinct Patterns in Gene Expression Profiles

2008 ◽  
Vol 5 (2) ◽  
Author(s):  
Li Teng ◽  
Laiwan Chan
Keyword(s):  
Gene Expression ◽  
Large Scale ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Clustering Methods ◽  
Gene Expressions ◽  
Real Gene ◽  
Large Scale Dataset ◽  
Coexpressed Genes

SummaryTraditional analysis of gene expression profiles use clustering to find groups of coexpressed genes which have similar expression patterns. However clustering is time consuming and could be diffcult for very large scale dataset. We proposed the idea of Discovering Distinct Patterns (DDP) in gene expression profiles. Since patterns showing by the gene expressions reveal their regulate mechanisms. It is significant to find all different patterns existing in the dataset when there is little prior knowledge. It is also a helpful start before taking on further analysis. We propose an algorithm for DDP by iteratively picking out pairs of gene expression patterns which have the largest dissimilarities. This method can also be used as preprocessing to initialize centers for clustering methods, like K-means. Experiments on both synthetic dataset and real gene expression datasets show our method is very effective in finding distinct patterns which have gene functional significance and is also effcient.

Gene expression profiles of homogentisate-treated Fah−/− Hpd−/−mice using DNA microarrays

2006 ◽  
Vol 89 (3) ◽  
pp. 203-209 ◽  
Author(s):  
Yasuhiko Tanaka ◽  
Kimitoshi Nakamura ◽  
Shirou Matsumoto ◽  
Yoshiko Kimoto ◽  
Akito Tanoue ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Microarrays ◽  
Expression Profiles ◽  
Gene Expression Profiles

Gene networks underlying functional sex in Sparidae (Pisces, Teleostei)

2018 ◽  
Author(s):  
Αλέξανδρος Τσακογιάννης
Keyword(s):  
Gene Expression ◽  
Sex Determination ◽  
Gene Networks ◽  
Expression Patterns ◽  
Gene Families ◽  
Male And Female ◽  
Dentex Dentex ◽  
The Common ◽  
Model Fish Species ◽  
Model Fish

The differences between sexes and the concept of sex determination have always fascinated, yet troubled philosophers and scientists. Among the animals that reproduce sexually, teleost fishes show a very wide repertoire of reproductive modes. Except for the gonochoristic species, fish are the only vertebrates in which hermaphroditism appears naturally. Hermaphroditism refers to the capability of an organism to reproduce both as male and female in its life cycle and there are various forms of it. In sequential hermaphroditism, an individual begins as female first and then can change sex to become male (protogyny), or vice versa (protandry). The diverse sex-phenotypes of fish are regulated by a variety of sex determination mechanisms, along a continuum of environmental and heritable factors. The vast majority of sexually dimorphic traits result from the differential expression of genes that are present in both sexes. To date, studies regarding the sex-specific differences in gene expression have been conducted mainly in sex determination systems of model fish species that are well characterized at the genomic level, with distinguishable heteromorphic sex chromosomes, exhibiting genetic sex determination and gonochorism. Among teleosts, the Sparidae family is considered to be one of the most diversified families regarding its reproductive systems, and thus is a unique model for comparative studies to understand the molecular mechanisms underlying different sexual motifs. In this study, using RNA sequencing, we studied the transcriptome from gonads and brains of both sexes in five sparid species, representatives of four different reproductive styles. Specifically, we explored the sex-specific expression patterns of a gonochoristic species: the common dentex Dentex dentex, two protogynous hermaphrodites: the red porgy Pagrus pagrus and the common pandora Pagellus erythrinus, the rudimentary hermaphrodite sharpsnout seabream Diplodus puntazzo, and the protandrous gilthead seabream Sparus aurata. We found minor sex-related expression differences indicating a more homogeneous and sexually plastic brain, whereas there was a plethora of sex biased gene expression in the gonads. The functional divergence of the two gonadal types is reflected in their transcriptomic profiles, in terms of the number of genes differentially expressed, as well as the expression magnitude (i.e. fold-change differences). The observation of almost double the number of up-regulated genes in males compared to females indicates a male-biased expression tendency. Focusing on the pathways and genes implicated in sex determination/differentiation, we aimed to unveil the molecular pathways through which these non-model fish species develop a masculine or a feminine character. We observed the implicated pathways and major gene families (e.g. Wnt/b-catenin pathway and Retinoic-acid signaling pathway, Notch, TGFβ) behind sex-biased expression and the recruitment of known sex-related genes either to male or female type of gonads in these fish. (e.g Dmrt1, Sox9, Sox3, Cyp19a, Filgla, Ctnnb1, Gsdf9, Stra6 etc.). We also carefully investigated the presence of genes reported to be involved in sex determination/differentiation mechanisms in other vertebrates and fish and compared their expression patterns in the species under study. The expression profiling exposed known candidate molecular-players/genes establishing the common female (Cyp19a1, Sox3, Figla, Gdf9, Cyp26a, Ctnnb1, Dnmt1, Stra6) and male identity (Dmrt1, Sox9, Dnmt3aa, Rarb, Raraa, Hdac8, Tdrd7) of the gonad in these sparids. Additionally, we focused on those contributing to a species-specific manner either to female (Wnt4a, Dmrt2a, Foxl2 etc.) or to male (Amh, Dmrt3a, Cyp11b etc.) characters, and discussed the expression patterns of factors that belong to important pathways and/or gene families in the SD context, in our species gonadal transcriptomes. Taken together, most of the studied genes form part of the cascade of sex determination, differentiation, and reproduction across teleosts. In this study, we focused on genes that are active when sex is established (sex-maintainers), revealing the basic “gene-toolkit” & gene-networks underlying functional sex in these five sparids. Comparing related species with alternative reproductive styles, we saw different combinations of genes with conserved sex-linked roles and some “handy” molecular players, in a “partially- conserved” or “modulated” network formulating the male and female phenotype. The knowledge obtained in this study and tools developed during the process have set the groundwork for future experiments that can improve the sex control of this species and help the in-deep understanding the complex process of sex differentiation in the more flexible multi-component systems as these studied here.

scholarly journals Comparison of gene expression in fresh and frozen–thawed human preimplantation embryos

Reproduction ◽  
2012 ◽  
Vol 144 (5) ◽  
pp. 569-582 ◽  
Author(s):  
Lisa Shaw ◽  
Sharon F Sneddon ◽  
Daniel R Brison ◽  
Susan J Kimber
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Developmental Expression ◽  
Preimplantation Embryos ◽  
Human Embryos ◽  
Molecular Events ◽  
Reliable Source ◽  
Human Preimplantation Embryos ◽  
Early Human

Identification and characterisation of differentially regulated genes in preimplantation human embryonic development are required to improve embryo quality and pregnancy rates in IVF. In this study, we examined expression of a number of genes known to be critical for early development and compared expression profiles in individual preimplantation human embryos to establish any differences in gene expression in fresh compared to frozen–thawed embryos used routinely in IVF. We analysed expression of 19 genes by cDNA amplification followed by quantitative real-time PCR in a panel of 44 fresh and frozen–thawed human preimplantation embryos. Fresh embryos were obtained from surplus early cleavage stage embryos and frozen–thawed embryos from cryopreserved 2PN embryos. Our aim was to determine differences in gene expression between fresh and frozen–thawed human embryos, but we also identified differences in developmental expression patterns for particular genes. We show that overall gene expression among embryos of the same stage is highly variable and our results indicate that expression levels between groups did differ and differences in expression of individual genes was detected. Our results show that gene expression from frozen–thawed embryos is more consistent when compared with fresh, suggesting that cryopreserved embryos may represent a reliable source for studying the molecular events underpinning early human embryo development.

CFTR ΔF508 mutation has minimal effect on the gene expression profile of differentiated human airway epithelia

2005 ◽  
Vol 289 (4) ◽  
pp. L545-L553 ◽  
Author(s):  
Joseph Zabner ◽  
Todd E. Scheetz ◽  
Hakeem G. Almabrazi ◽  
Thomas L. Casavant ◽  
Jian Huang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cystic Fibrosis ◽  
Large Scale ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Primary Cultures ◽  
Gene Expression Profiles ◽  
Filter Method ◽  
Tissue Destruction ◽  
Airway Epithelia

Cystic fibrosis (CF) is caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR), an epithelial chloride channel regulated by phosphorylation. Most of the disease-associated morbidity is the consequence of chronic lung infection with progressive tissue destruction. As an approach to investigate the cellular effects of CFTR mutations, we used large-scale microarray hybridization to contrast the gene expression profiles of well-differentiated primary cultures of human CF and non-CF airway epithelia grown under resting culture conditions. We surveyed the expression profiles for 10 non-CF and 10 ΔF508 homozygote samples. Of the 22,283 genes represented on the Affymetrix U133A GeneChip, we found evidence of significant changes in expression in 24 genes by two-sample t-test ( P < 0.00001). A second, three-filter method of comparative analysis found no significant differences between the groups. The levels of CFTR mRNA were comparable in both groups. There were no significant differences in the gene expression patterns between male and female CF specimens. There were 18 genes with significant increases and 6 genes with decreases in CF relative to non-CF samples. Although the function of many of the differentially expressed genes is unknown, one transcript that was elevated in CF, the KCl cotransporter (KCC4), is a candidate for further study. Overall, the results indicate that CFTR dysfunction has little direct impact on airway epithelial gene expression in samples grown under these conditions.

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