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Comparing Copy Number Variations and SNPs02:26

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
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A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA
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Genetic variation and RNA binding proteins: tools and techniques to detect functional polymorphisms.

Rachel Soemedi1, Hugo Vega, Judson M Belmont

  • 1Center for Computational Molecular Biology, Brown University, Providence, RI, USA.

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|September 10, 2014
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Understanding genetic variations requires analyzing noncoding DNA, which impacts gene expression and disease. This study reviews methods for detecting RNA-protein interactions and presents high-throughput assays for screening genetic variants and discovering drugs that correct splicing defects.

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Area of Science:

  • Genetics and Genomics
  • Molecular Biology
  • Medical Genetics

Background:

  • Connecting genotype to phenotype is a fundamental goal in genetics, increasingly applied in clinical settings.
  • Genome sequencing generates numerous variations, posing analytical challenges for disease association.
  • Noncoding genetic variations, particularly those affecting splicing, are a significant cause of hereditary diseases.

Purpose of the Study:

  • To review current practices in medical genetics and the theory of biochemical assays.
  • To explore technical advances in detecting and studying variations that alter RNA-protein recognition.
  • To illustrate methods for analyzing polymorphisms using case studies and high-throughput assays.

Main Methods:

  • Review of medical genetics practices and biochemical binding/functional assay theory.
  • Characterization of a functional intronic single nucleotide polymorphism (SNP) affecting a splicing regulatory element.
  • Development and application of high-throughput splicing and spliceosome assembly assays.
  • Pilot drug screens using small molecules to identify compounds that rescue aberrant pre-mRNA processing.

Main Results:

  • Demonstrated the utility of high-throughput assays for screening numerous SNPs and disease alleles for allelic differences in gene expression.
  • Identified small molecules (G418, tetracycline, valproic acid) capable of rescuing specific instances of differential pre-mRNA processing.
  • Provided a case study of analyzing a functional intronic SNP impacting splicing regulatory elements.

Conclusions:

  • High-throughput biochemical and functional assays offer scalable methods for analyzing genetic variations impacting RNA processing.
  • These advanced techniques facilitate the screening of large genetic variant sets and the discovery of therapeutic compounds for genetic diseases.
  • The study highlights the importance of noncoding variations and provides practical approaches for their investigation in medical genetics.