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Vijay K Nalla

Publications and source records attributed to Vijay K Nalla.

2 recordsLinked to original sources

Normal and abnormal mechanisms of gene splicing and relevance to inherited skin diseases.

The process of excising introns from pre-mRNA complexes is directed by specific genomic DNA sequences at intron-exon borders known as splice sites. These regions contain well-conserved motifs which allow the splicing process to proceed in a regulated and structured manner. However, as well as conventional splicing, several genes have the inherent capacity to undergo alternative splicing, thus allowing synthesis of multiple gene transcripts, perhaps with different functional properties. Within the human genome, therefore, through alternative splicing, it is possible to generate over 100,000 physiological gene products from the 35,000 or so known genes. Abnormalities in normal or alternative splicing, however, account for about 15% of all inherited single gene disorders, including many with a skin phenotype. These splicing abnormalities may arise through inherited mutations in constitutive splice sites or other critical intronic or exonic regions. This review article examines the process of normal intron-exon splicing, as well as what is known about alternative splicing of human genes. The review then addresses pathological disruption of normal intron-exon splicing that leads to inherited skin diseases, either resulting from mutations in sequences that have a direct influence on splicing or that generate cryptic splice sites. Examples of aberrant splicing, especially for the COL7A1 gene in patients with dystrophic epidermolysis bullosa, are discussed and illustrated. The review also examines a number of recently introduced computational tools that can be used to predict whether genomic DNA sequences changes may affect splice site selection and how robust the influence of such mutations might be on splicing.

Humans↗

Automated splicing mutation analysis by information theory.

Information theory-based software tools have been useful in interpreting noncoding sequence variation within functional sequence elements such as splice sites. Individual information analysis detects activated cryptic splice sites and associated splicing regulatory sites and is capable of distinguishing null from partially functional alleles. We present a server (https://splice.cmh.edu) designed to analyze splicing mutations in binding sites in either human genes, genome-mapped mRNAs, user-defined sequences, or dbSNP entries. Standard HUGO-approved gene symbols and HGVS-approved systematic mutation nomenclature (or dbSNP format) are entered via a web portal. After verifying the accuracy of input variant(s), the surrounding interval is retrieved from the human genome or user-supplied reference sequence. The server then computes the information contents (Ri) of all potential constitutive and/or regulatory splice sites in both the reference and variant sequences. Changes in information content are color-coded, tabulated, and visualized as sequence walkers, which display the binding sites with the reference sequence. The software was validated by analyzing approximately 1,300 mutations from Human Mutation as well as eight mapped SNPs from dbSNP designated as splice site variants. All of the splicing mutations and variants affected splice site strength or activated cryptic splice sites. The server also detected several missense mutations that were unexpectedly predicted to have concomitant effects on splicing or appeared to activate cryptic splicing.

Automation↗