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Single-cell long-read sequencing

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  Long-read single-cell transcriptomics (scRNA-Seq) is revolutionizing the way we profile heterogeneity in disease. Traditional short-read scRNA-Seq methods are limited in their ability to provide complete transcript coverage, resolve isoforms, and identify novel transcripts. The scRNA-Seq protocols developed for long-read sequencing platforms overcome these limitations by enabling the characterization of full-length transcripts. Long-read scRNA-Seq techniques initially suffered from comparatively poor accuracy compared to short read scRNA-Seq. However, with improvements in accuracy, accessibility, and cost efficiency, long-reads are gaining popularity in the field of scRNA-Seq.  https://link.springer.com/article/10.1007/s00439-024-02678-x   Following figure shows the process of long-read scRNA-Seq data generation and analysis. The tissue is collected, homogenized, and enriched for the preparation of the selected single-cell suspension. The library is prepared by dro...
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Emerging bulk RNASeq applications

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 Significant innovations in next-generation sequencing techniques and bioinformatics tools have impacted our appreciation and understanding of RNA. Practical RNA sequencing (RNA-Seq) applications have evolved in conjunction with sequence technology and bioinformatic tools advances.  Article published in Briefing in Bioinformatics journal, published by Oxford Press.  In this review, Thind. et. al. explained the various new emerging applications of bulk RNASeq. Many new things could be discovered from the data which is already available on public platforms.  (Reference of the article, " Demystifying emerging bulk RNA-Seq applications: the application and utility of bioinformatic methodology ") In most projects, bulk RNA-Seq data is used to measure gene expression patterns, isoform expression, alternative splicing and single-nucleotide polymorphisms. However, RNA-Seq holds far more hidden biological information including details of copy number alteration, microbial...
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