Biology subjects

Rajan Babu, I. S.

Publications and source records attributed to Rajan Babu, I. S..

3 recordsLinked to original sources

bioRxiv2026

Synonymous HTT CAA/CCA-loss variants associated with early Huntington disease onset enhance toxicity beyond somatic instability

Huntington disease is a fatal neurodegenerative disorder caused by CAG repeat expansion encoding polyglutamine in the HTT gene. Recent studies have shown that loss of CAA/CCA interruptions within polyglutamine-coding CAG tracts and adjacent polyproline-coding region are linked to earlier disease onset. It has been hypothesized that somatic repeat instability, influenced by these interrupted CAG tracts, may mediate this effect. Here we demonstrate that HTT CAA/CCA-loss variant linked to early disease onset exacerbates mutant HTT toxicity in cellular models through mechanisms independent of somatic repeat instability. The CAA/CCA-loss variant exhibits significantly higher toxicity than canonical HTT sequences in both transient expression and stable cell line models. Notably, this enhanced toxicity persists in knockout cells of the mismatch repair gene MSH3 where somatic instability is blunted, with a consistent toxicity hierarchy (CAA/CCA-loss > CCA-loss > CAA-loss > canonical HTT) in both wildtype and MSH3 knockout cells. Furthermore, the CAA/CCA-loss variant generates elevated levels of repeat-associated non-AUG (RAN) translation products. In HEK293-based cellular models, these results suggest that the disease-accelerating effects of HTT CAA/CCA-loss variants involve intrinsic properties of the altered sequence context, highlighting the importance of understanding sequence-specific mechanisms in HD pathogenesis beyond polyglutamine length and somatic instability.

genetics↗

bioRxiv2021

REViewer: Haplotype-resolved visualization of read alignments in and around tandem repeats

BackgroundExpansions of short tandem repeats are the cause of many neurogenetic disorders including familial amyotrophic lateral sclerosis, Huntington disease, and many others. Multiple methods have been recently developed that can identify repeat expansions in whole genome or exome sequencing data. Despite the widely-recognized need for visual assessment of variant calls in clinical settings, current computational tools lack the ability to produce such visualizations for repeat expansions. Expanded repeats are difficult to visualize because they correspond to large insertions relative to the reference genome and involve many misaligning and ambiguously aligning reads. ResultsWe implemented REViewer, a computational method for visualization of sequencing data in genomic regions containing long repeat expansions. To generate a read pileup, REViewer reconstructs local haplotype sequences and distributes reads to these haplotypes in a way that is most consistent with the fragment lengths and evenness of read coverage. To create appropriate training materials for onboarding new users, we performed a concordance study involving 12 scientists involved in STR research. We used the results of this study to create a user guide that describes the basic principles of using REViewer as well as a guide to the typical features of read pileups that correspond to low confidence repeat genotype calls. Additionally, we demonstrated that REViewer can be used to annotate clinically-relevant repeat interruptions by comparing visual assessment results of 44 FMR1 repeat alleles with the results of triplet repeat primed PCR. For 38 of these alleles, the results of visual assessment were consistent with triplet repeat primed PCR. ConclusionsRead pileup plots generated by REViewer offer an intuitive way to visualize sequencing data in regions containing long repeat expansions. Laboratories can use REViewer to assess the quality of repeat genotype calls as well as to visually detect interruptions or other imperfections in the repeat sequence and the surrounding flanking regions.

bioinformatics↗

bioRxiv2020

Genome-Wide Sequencing as a First-Tier Screening Test for Short Tandem Repeat Expansions

Short tandem repeat (STR) expansions cause several neurological and neuromuscular disorders. Screening for STR expansions in genome-wide (exome and genome) sequencing data can enable diagnosis, optimal clinical management/treatment, and accurate genetic counselling of patients with repeat expansion disorders. We assessed the performance of lobSTR, HipSTR, RepeatSeq, ExpansionHunter, TREDPARSE, GangSTR, STRetch, and exSTRa - bioinformatics tools that have been developed to detect and/or genotype STR expansions - on experimental and simulated genome sequence data with known STR expansions aligned using two different aligners, Isaac and BWA. We then adjusted the parameter settings to optimize the sensitivity and specificity of the STR tools and fed the optimized results into a machine-learning decision tree classifier to determine the best combination of tools to detect full mutation expansions with high diagnostic sensitivity and specificity. The decision tree model supported using ExpansionHunters full mutation calls with those of either STRetch or exSTRa for detection of full mutations with precision, recall, and F1-score of 90%, 100%, and 95%, respectively. We used this pipeline to screen the BWA-aligned exome or genome sequence data of 306 families of children with suspected genetic disorders for pathogenic expansions of known disease STR loci. We identified 27 samples, 17 with an apparent full-mutation expansion of the AR, ATXN1, ATXN2, ATXN8, DMPK, FXN, HTT, or TBP locus, nine with an intermediate or premutation allele in the FMR1 locus, and one with a borderline allele in the ATXN2 locus. We report the concordance between our bioinformatics findings and the clinical PCR results in a subset of these samples. Implementation of our bioinformatics workflow can improve the detection of disease STR expansions in exome and genome sequence diagnostics and enhance clinical outcomes for patients with repeat expansion disorders.

genetics↗