scholarly journals EVOLUTION AND VARIATION OF RENIN GENES IN MICE

Genetics ◽  
1984 ◽  
Vol 108 (3) ◽  
pp. 651-667
Author(s):  
Douglas P Dickinson ◽  
Kenneth W Gross ◽  
Nina Piccini ◽  
Carol M Wilson
Keyword(s):  
Gene Expression ◽  
Submandibular Gland ◽  
Regulation Of Gene Expression ◽  
Inbred Strains ◽  
Duplication Event ◽  
Comparative Sequence Analysis ◽  
Chromosome 1 ◽  
Gene Encoding ◽  
Prior Estimate ◽  
Low Levels

ABSTRACT Inbred strains of mice carry Ren-1, a gene encoding the thermostable Renin-1 isozyme. Ren-1 is expressed at relatively low levels in mouse submandibular gland and kidney. Some strains also carry Ren-2, a gene encoding the thermolabile Renin-2 isozyme. Ren-2 is expressed at high levels in the mouse submandibular gland and at very low levels, if at all, in the kidney. Ren-1 and Ren-2 are closely linked on mouse chromosome 1, show extensive homology in coding and noncoding regions and provide a model for studying the regulation of gene expression. An investigation of renin genes and enzymatic activity in wild-derived mice identified several restriction site polymorphisms as well as putative variants in renin gene expression and protein structure. The number of renin genes carried by different subpopulations of wild-derived mice is consistent with the occurrence of a gene duplication event prior to the divergence of M. spretus (2.75-5.5 million yr ago). This conclusion is in agreement with a prior estimate based upon comparative sequence analysis of Ren-1 and Ren-2 from inbred laboratory mice.

Discovery and profiling of bovine microRNAs from immune-related and embryonic tissues

2007 ◽  
Vol 29 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Luiz L. Coutinho ◽  
Lakshmi K. Matukumalli ◽  
Tad S. Sonstegard ◽  
Curtis P. Van Tassell ◽  
Louis C. Gasbarre ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bovine Genome ◽  
Regulation Of Gene Expression ◽  
Comparative Sequence Analysis ◽  
Cdna Libraries ◽  
Bovine Embryo ◽  
Draft Sequence ◽  
Stem Loop ◽  
Embryonic Tissues ◽  
Mature Micrornas

MicroRNAs are small ∼22 nucleotide-long noncoding RNAs capable of controlling gene expression by inhibiting translation. Alignment of human microRNA stem-loop sequences (mir) against a recent draft sequence assembly of the bovine genome resulted in identification of 334 predicted bovine mir. We sequenced five tissue-specific cDNA libraries derived from the small RNA fractions of bovine embryo, thymus, small intestine, and lymph node to validate these predictions and identify new mir. This strategy combined with comparative sequence analysis identified 129 sequences that corresponded to mature microRNAs (miR). A total of 107 sequences aligned to known human mir, and 100 of these matched expressed miR. The other seven sequences represented novel miR expressed from the complementary strand of previously characterized human mir. The 22 sequences without matches displayed characteristic mir secondary structures when folded in silico, and 10 of these retained sequence conservation with other vertebrate species. Expression analysis based on sequence identity counts revealed that some miR were preferentially expressed in certain tissues, while bta-miR-26a and bta-miR-103 were prevalent in all tissues examined. These results support the premise that species differences in regulation of gene expression by miR occur primarily at the level of expression and processing.

Isolation, mapping, and regulated expression of the gene encoding mouse C-type natriuretic peptide

1996 ◽  
Vol 271 (4) ◽  
pp. H1565-H1575 ◽  
Author(s):  
H. Huang ◽  
C. G. Acuff ◽  
M. E. Steinhelper
Keyword(s):  
Natriuretic Peptide ◽  
Inbred Strains ◽  
Regulatory Elements ◽  
Reproductive Organs ◽  
Chromosome 1 ◽  
Flanking Sequence ◽  
Gene Encoding ◽  
Regulated Expression ◽  
Uterine Fluid ◽  
Ribonuclease Protection

Genomic sequences encoding mouse C-type natriuretic peptide (CNP) were isolated from bacteriophage libraries and characterized by restriction enzyme and sequence analysis. The mouse CNP gene (Nppc) comprised at least two exons and one intron and included several cis-regulatory elements in the 5'-flanking sequence. The deduced amino acid sequence of mouse CNP-22 was identical to other mammalian CNPs. Analysis of allele distributions in interspecific back-cross and recombinant inbred strains assigned Nppc to chromosome 1. CNP transcripts were detected by ribonuclease protection analysis in brain, ovary, and uterus, with lower levels in testes and epididymus. Uterine CNP transcripts and protein were low in sexually immature mice and adults at estrus and increased at proestrus, but similar variations in ovarian CNP expression were not statistically significant. Atrial natriuretic peptide and B-type natriuretic peptide transcripts were not detected in mouse ovary or uterus. Thus CNP gene expression is regulated by tissue-specific and inducible mechanisms in female reproductive organs. Correlations between CNP expression and uterine fluid content suggest that CNP may regulate uterine fluid balance in mice and other mammals.

scholarly journals Interaction between Mutations and Regulation of Gene Expression during Development ofDe NovoAntibiotic Resistance

2014 ◽  
Vol 58 (8) ◽  
pp. 4371-4379 ◽  
Author(s):  
Nadine Händel ◽  
Jasper M. Schuurmans ◽  
Yanfang Feng ◽  
Stanley Brul ◽  
Benno H. ter Kuile
Keyword(s):  
Gene Expression ◽  
De Novo ◽  
Efflux Pump ◽  
Regulation Of Gene Expression ◽  
Tetracycline Resistance ◽  
Expression Level ◽  
Content Type ◽  
Cellular Processes ◽  
Dna Mutations ◽  
Low Levels

ABSTRACTBacteria can become resistant not only by horizontal gene transfer or other forms of exchange of genetic information but also byde novoby adaptation at the gene expression level and through DNA mutations. The interrelationship between changes in gene expression and DNA mutations during acquisition of resistance is not well documented. In addition, it is not known whether the DNA mutations leading to resistance always occur in the same order and whether the final result is always identical. The expression of >4,000 genes inEscherichia coliwas compared upon adaptation to amoxicillin, tetracycline, and enrofloxacin. During adaptation, known resistance genes were sequenced for mutations that cause resistance. The order of mutations varied within two sets of strains adapted in parallel to amoxicillin and enrofloxacin, respectively, whereas the buildup of resistance was very similar. No specific mutations were related to the rather modest increase in tetracycline resistance. Ribosome-sensed induction and efflux pump activation initially protected the cell through induction of expression and allowed it to survive low levels of antibiotics. Subsequently, mutations were promoted by the stress-induced SOS response that stimulated modulation of genetic instability, and these mutations resulted in resistance to even higher antibiotic concentrations. The initial adaptation at the expression level enabled a subsequent trial and error search for the optimal mutations. The quantitative adjustment of cellular processes at different levels accelerated the acquisition of antibiotic resistance.

scholarly journals Comprehensive analysis of human microRNA-mRNA interactome

2019 ◽  
Author(s):  
Olga Plotnikova ◽  
Ancha Baranova ◽  
Mikhail Skoblov
Keyword(s):  
Gene Expression ◽  
Regulation Of Gene Expression ◽  
Comprehensive Analysis ◽  
Specific Gene ◽  
Mrna Expression Data ◽  
Human Interactions ◽  
Human Genes ◽  
Cellular Context ◽  
Low Levels ◽  
High Level

AbstractMicroRNAs play a key role in the regulation of gene expression. A majority of microRNA-mRNA interactions remain unidentified. Despite extensive research, our ability to predict human microRNA-mRNA interactions using computational algorithms remains limited by a complexity of the models for non-canonical interactions, and an abundance of false positive results.Here we present the landscape of microRNA-mRNA human interactions, which we derived from comprehensive analysis of datasets describing direct microRNA-mRNA interactions experimentally defined in HEK293 and Huh7.5 cell lines, along with other available microRNA and mRNA expression data. We have also established a collection of reliable microRNA binding regions that we systematically extracted in course of analysis of 79 CLIP datasets, which is available at http://score.generesearch.ru/services/mirna/.While only 1-2% of human genes interact with microRNAs, some RNAs display a substantial sponge effect, which is specific to the cell line of study. Some microRNAs are expressed at a very high level, while interacting with only a few mRNAs, thus, indeed, serving as specific gene expression regulators. Other miRNAs might be expressed at relatively low levels, and interact with many mRNAs. Some of the microRNAs might switch between these two classes, depending on cellular context. Results of our study provide an initial resolution into the complex patterns of human microRNA-mRNA interactions.

Linking transcription, RNA polymerase II elongation and alternative splicing

2020 ◽  
Vol 477 (16) ◽  
pp. 3091-3104 ◽  
Author(s):  
Luciana E. Giono ◽  
Alberto R. Kornblihtt
Keyword(s):  
Gene Expression ◽  
Alternative Splicing ◽  
Rna Polymerase Ii ◽  
Environmental Changes ◽  
Transcription Elongation ◽  
Single Gene ◽  
Regulation Of Gene Expression ◽  
Regulation Of Transcription ◽  
Stepping Stones ◽  
Eukaryotic Transcription

Gene expression is an intricately regulated process that is at the basis of cell differentiation, the maintenance of cell identity and the cellular responses to environmental changes. Alternative splicing, the process by which multiple functionally distinct transcripts are generated from a single gene, is one of the main mechanisms that contribute to expand the coding capacity of genomes and help explain the level of complexity achieved by higher organisms. Eukaryotic transcription is subject to multiple layers of regulation both intrinsic — such as promoter structure — and dynamic, allowing the cell to respond to internal and external signals. Similarly, alternative splicing choices are affected by all of these aspects, mainly through the regulation of transcription elongation, making it a regulatory knob on a par with the regulation of gene expression levels. This review aims to recapitulate some of the history and stepping-stones that led to the paradigms held today about transcription and splicing regulation, with major focus on transcription elongation and its effect on alternative splicing.

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