scholarly journals Activation-induced disruption of nucleosome position clusters on the coding regions of Gcn4-dependent genes extends into neighbouring genes

2011 ◽  
Vol 39 (22) ◽  
pp. 9521-9535 ◽  
Author(s):  
Hope A. Cole ◽  
Bruce H. Howard ◽  
David J. Clark
Keyword(s):  
Nucleosome Position ◽  
Coding Regions

scholarly journals Comparative Analyses of Homocitrate Synthase Genes of Ascomycetous Yeasts

2012 ◽  
Vol 2012 ◽  
pp. 1-4
Author(s):  
Hiromi Nishida
Keyword(s):  
Gene Duplication ◽  
Nucleosome Position ◽  
Lysine Biosynthesis ◽  
Promoter Regions ◽  
Additional Function ◽  
Coding Regions ◽  
Damage Repair ◽  
Homocitrate Synthase ◽  
Ascomycetous Yeasts ◽  
Regulatory Controls

Most ascomycetous yeasts have 2 homocitrate synthases (HCSs). Among the fungal lysine biosynthesis-related genes, only the HCS gene was duplicated in the course of evolution. It was recently reported that HCS of Saccharomyces cerevisiae has an additional function in nuclear activities involving chromatin regulation related to DNA damage repair, which is not related to lysine biosynthesis. Thus, it is possible that the bifunctionality is associated with HCS gene duplication. Phylogenetic analysis showed that duplication has occurred multiple times during evolution of the ascomycetous yeasts. It is likely that the HCS gene duplication in S. cerevisiae occurred in the course of Saccharomyces evolution. Although the nucleosome position profiles of the two S. cerevisiae HCS genes were similar in the coding regions, they were different in the promoter regions, suggesting that they are subject to different regulatory controls. S. cerevisiae has maintained HCS activity for lysine biosynthesis and has obtained bifunctionality.

scholarly journals The open targets post-GWAS analysis pipeline

2020 ◽  
Vol 36 (9) ◽  
pp. 2936-2937 ◽  
Author(s):  
Gareth Peat ◽  
William Jones ◽  
Michael Nuhn ◽  
José Carlos Marugán ◽  
William Newell ◽  
...  
Keyword(s):  
Drug Targets ◽  
Gene Expression Regulation ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Protein Coding ◽  
Data Resource ◽  
Coding Regions ◽  
Genome Wide ◽  
Causal Genes ◽  
Interactive Data

Abstract Motivation Genome-wide association studies (GWAS) are a powerful method to detect even weak associations between variants and phenotypes; however, many of the identified associated variants are in non-coding regions, and presumably influence gene expression regulation. Identifying potential drug targets, i.e. causal protein-coding genes, therefore, requires crossing the genetics results with functional data. Results We present a novel data integration pipeline that analyses GWAS results in the light of experimental epigenetic and cis-regulatory datasets, such as ChIP-Seq, Promoter-Capture Hi-C or eQTL, and presents them in a single report, which can be used for inferring likely causal genes. This pipeline was then fed into an interactive data resource. Availability and implementation The analysis code is available at www.github.com/Ensembl/postgap and the interactive data browser at postgwas.opentargets.io.

scholarly journals A Cluster of Cuticle Protein Genes of Drosophila melanogaster at 65A: Sequence, Structure and Evolution

Genetics ◽  
1997 ◽  
Vol 147 (3) ◽  
pp. 1213-1224
Author(s):  
Jean-Philippe Charles ◽  
Carol Chihara ◽  
Shamim Nejad ◽  
Lynn M Riddiford
Keyword(s):  
Drosophila Melanogaster ◽  
Genomic Dna ◽  
Multiple Copy ◽  
Sequence Structure ◽  
Coding Regions ◽  
The Third ◽  
Genetic Complexity ◽  
Genes Encoding ◽  
Cuticle Protein ◽  
Cuticle Proteins

A 36-kb genomic DNA segment of the Drosophila melanogaster genome containing 12 clustered cuticle genes has been mapped and partially sequenced. The cluster maps at 65A 5-6 on the left arm of the third chromosome, in agreement with the previously determined location of a putative cluster encompassing the genes for the third instar larval cuticle proteins LCP5, LCP6 and LCP8. This cluster is the largest cuticle gene cluster discovered to date and shows a number of surprising features that explain in part the genetic complexity of the LCP5, LCP6 and LCP8 loci. The genes encoding LCP5 and LCP8 are multiple copy genes and the presence of extensive similarity in their coding regions gives the first evidence for gene conversion in cuticle genes. In addition, five genes in the cluster are intronless. Four of these five have arisen by retroposition. The other genes in the cluster have a single intron located at an unusual location for insect cuticle genes.

scholarly journals Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine

2021 ◽  
Vol 7 (3) ◽  
pp. 47
Author(s):  
Marios Lange ◽  
Rodiola Begolli ◽  
Antonis Giakountis
Keyword(s):  
Disease Onset ◽  
Cancer Genome ◽  
Driver Mutations ◽  
Nucleotide Polymorphisms ◽  
Structural Variations ◽  
Coding Regions ◽  
Functional Variants ◽  
Coding Variants ◽  
Clinical Potential

The cancer genome is characterized by extensive variability, in the form of Single Nucleotide Polymorphisms (SNPs) or structural variations such as Copy Number Alterations (CNAs) across wider genomic areas. At the molecular level, most SNPs and/or CNAs reside in non-coding sequences, ultimately affecting the regulation of oncogenes and/or tumor-suppressors in a cancer-specific manner. Notably, inherited non-coding variants can predispose for cancer decades prior to disease onset. Furthermore, accumulation of additional non-coding driver mutations during progression of the disease, gives rise to genomic instability, acting as the driving force of neoplastic development and malignant evolution. Therefore, detection and characterization of such mutations can improve risk assessment for healthy carriers and expand the diagnostic and therapeutic toolbox for the patient. This review focuses on functional variants that reside in transcribed or not transcribed non-coding regions of the cancer genome and presents a collection of appropriate state-of-the-art methodologies to study them.

scholarly journals Analysis and Mapping of Gene Families Encoding β-1,3-Glucanases of Soybean

Genetics ◽  
1999 ◽  
Vol 153 (1) ◽  
pp. 445-452
Author(s):  
Wei Jin ◽  
Harry T Horner ◽  
Reid G Palmer ◽  
Randy C Shoemaker
Keyword(s):  
Gene Families ◽  
Mrna Levels ◽  
Linkage Groups ◽  
Flower Bud ◽  
Cross Hybridization ◽  
Coding Regions ◽  
F2 Population ◽  
Young Leaves ◽  
Glycine Max L ◽  
Stem Leaf

Abstract Oligonucleotide primers designed for conserved sequences from coding regions of β-1,3-glucanase genes from different species were used to amplify related sequences from soybean [Glycine max (L.) Merr.]. Sequencing and cross-hybridization of amplification products indicated that at least 12 classes of β-1,3-glucanase genes exist in the soybean. Members of classes mapped to 34 loci on five different linkage groups using an F2 population of 56 individuals. β-1,3-Glucanase genes are clustered onto regions of five linkage groups. Data suggest that more closely related genes are clustered together on one linkage group or on duplicated regions of linkage groups. Northern blot analyses performed on total RNA from root, stem, leaf, pod, flower bud, and hypocotyl using DNA probes for the different classes of β-1,3-glucanase genes revealed that the mRNA levels of all classes were low in young leaves. SGlu2, SGlu4, SGlu7, and SGlu12 mRNA were highly accumulated in young roots and hypocotyls. SGlu7 mRNA also accumulated in pods and flower buds.

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