Navigating triplet repeats sequencing: concepts, methodological challenges and perspective for Huntington's disease

The accurate characterization of triplet repeats, especially the overrepresented CAG repeats, is increasingly relevant for several reasons. First, germline expansion of CAG repeats above a gene-specific threshold causes multiple neurodegenerative disorders; for instance, Huntington's disease (HD) is triggered by >36 CAG repeats in the huntingtin (HTT) gene. Second, extreme expansions up to 800 CAG repeats have been found in specific cell types affected by the disease. Third, synonymous single nucleotide variants within the CAG repeat stretch influence the age of disease onset. Thus, new sequencing-based protocols that profile both the length and the exact nucleotide sequence of triplet repeats are crucial. Various strategies to enrich the target gene over the background, along with sequencing platforms and bioinformatic pipelines, are under development. This review discusses the concepts, challenges, and methodological opportunities for analyzing triplet repeats, using HD as a case study. Starting with traditional approaches, we will explore how sequencing-based methods have evolved to meet increasing scientific demands. We will also highlight experimental and bioinformatic challenges, aiming to provide a guide for accurate triplet repeat characterization for diagnostic and therapeutic purposes.

Sequence composition changes in short tandem repeats: heterogeneity, detection, mechanisms and clinical implications

Short tandem repeats (STRs) are a class of repetitive elements, composed of tandem arrays of 1-6 base pair sequence motifs, that comprise a substantial fraction of the human genome. STR expansions can cause a wide range of neurological and neuromuscular conditions, known as repeat expansion disorders, whose age of onset, severity, penetrance and/or clinical phenotype are influenced by the length of the repeats and their sequence composition. The presence of non-canonical motifs, depending on the type, frequency and position within the repeat tract, can alter clinical outcomes by modifying somatic and intergenerational repeat stability, gene expression and mutant transcript-mediated and/or protein-mediated toxicities. Here, we review the diverse structural conformations of repeat expansions, technological advances for the characterization of changes in sequence composition, their clinical correlations and the impact on disease mechanisms.

DeepRepeat: direct quantification of short tandem repeats on signal data from nanopore sequencing

Despite recent improvements in basecalling accuracy, nanopore sequencing still has higher error rates on short-tandem repeats (STRs). Instead of using basecalled reads, we developed DeepRepeat which converts ionic current signals into red-green-blue channels, thus transforming the repeat detection problem into an image recognition problem. DeepRepeat identifies and accurately quantifies telomeric repeats in the CHM13 cell line and achieves higher accuracy in quantifying repeats in long STRs than competing methods. We also evaluate DeepRepeat on genome-wide or candidate region datasets from seven different sources. In summary, DeepRepeat enables accurate quantification of long STRs and complements existing methods relying on basecalled reads.

Neurodegenerative diseases associated with non-coding CGG tandem repeat expansions

Non-coding CGG repeat expansions cause multiple neurodegenerative disorders, including fragile X-associated tremor/ataxia syndrome, neuronal intranuclear inclusion disease, oculopharyngeal myopathy with leukodystrophy, and oculopharyngodistal myopathy. The underlying genetic causes of several of these diseases have been identified only in the past 2-3 years. These expansion disorders have substantial overlapping clinical, neuroimaging and histopathological features. The shared features suggest common mechanisms that could have implications for the development of therapies for this group of diseases - similar therapeutic strategies or drugs may be effective for various neurodegenerative disorders induced by non-coding CGG expansions. In this Review, we provide an overview of clinical and pathological features of these CGG repeat expansion diseases and consider the likely pathological mechanisms, including RNA toxicity, CGG repeat-associated non-AUG-initiated translation, protein aggregation and mitochondrial impairment. We then discuss future research needed to improve the identification and diagnosis of CGG repeat expansion diseases, to improve modelling of these diseases and to understand their pathogenesis. We also consider possible therapeutic strategies. Finally, we propose that CGG repeat expansion diseases may represent manifestations of a single underlying neuromyodegenerative syndrome in which different organs are affected to different extents depending on the gene location of the repeat expansion.

Towards population-scale long-read sequencing

Long-read sequencing technologies have now reached a level of accuracy and yield that allows their application to variant detection at a scale of tens to thousands of samples. Concomitant with the development of new computational tools, the first population-scale studies involving long-read sequencing have emerged over the past 2 years and, given the continuous advancement of the field, many more are likely to follow. In this Review, we survey recent developments in population-scale long-read sequencing, highlight potential challenges of a scaled-up approach and provide guidance regarding experimental design. We provide an overview of current long-read sequencing platforms, variant calling methodologies and approaches for de novo assemblies and reference-based mapping approaches. Furthermore, we summarize strategies for variant validation, genotyping and predicting functional impact and emphasize challenges remaining in achieving long-read sequencing at a population scale.

Anticancer targets and mechanisms of calycosin to treat nasopharyngeal carcinoma

Calycosin is a naturally occurring phytoestrogen, and it has the anti-nasopharyngeal carcinoma (NPC) action played by calycosin. However, the elaborate mechanisms of calycosin treating NPC remain to be unrevealed. In current report, a promising tool of network pharmacology method was used to uncover the anti-NPC targets and therapeutic mechanisms played by calycosin. Furthermore, were conducted to validate the bioinformatic findings in human and preclinical studies. As results, the bioinformatic findings showed the core anti-NPC targets played by calycosin included tumor protein p53 (TP53), mitogen-activated protein kinase 14 (MAPK14), caspase 8 (CASP8), mitogen-activated protein kinase 3 (MAPK3), caspase 3 (CASP3), receptor interacting protein kinase 1 (RIPK1), proto-oncogene c (JUN), and estrogen receptor 1 (ESR1). Concurrently, the top 20 biological processes and top 20 pharmacological pathways of calycosin treating NPC were identified and illustrated. In clinical data, NPC samples showed up-regulated expression of MAPK14, reduced TP53, and CASP8 expressions in comparison with those in non-NPC controls. As revealed in experimental data, calycosin-treated NPC cells resulted in reduced cell survival rate, increased cell apoptosis. In apoptosis-specific staining, calycosin-treated NPC cells exhibited elevated apoptotic cell number. Following the immunostaining assays, the results indicated increased TP53-, CASP8-positive cells, and reduced MAPK14-positive cells in calycosin-treated NPC cells and xenograft tumor sections. Altogether, the bioinformatic findings from network pharmacology reveal all core targets and mechanisms of calycosin treating NPC, and some of bioinformatic findings are identified using human and preclinical experiments. Notably, the screened biotargets may be potentially used to clinically treat NPC.