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INNOSC Theranostics and
            Pharmacological Sciences                                              Transcriptome-based RNA sequencing



            with this array is cross-hybridization. Using full-length   Human leukocyte antigen (HLA) genes and non-HLA
            cDNAs, the mRNAs of paralogs can cross-hybridize to the   genes are the genes and genetic loci that have been linked to the
            wrong spots. A major challenge in analyzing microarray   risk of RA. RNA-seq sheds insights into the causes of RA and
            data is that it can be difficult to compare transcripts. 11  its therapy, making it easier to distinguish healthy individuals
                                                               from those with RA. Studies 27,28  comparing population
              Another method is a sequencing-based technique or
            RNA-seq. This technique largely replaces the microarrays,   transcriptomes by analyzing the synovium, synovial cells,
                                                               white blood cells, and peripheral blood mononuclear cells
            becoming popular for performing transcriptomics. The   have been conducted. Studies have also revealed that patients
            development of nanotechnology enables the sequencing of   with RA have dysregulated levels of secretory phosphoprotein
            hundreds of thousands of DNA molecules simultaneously.   1 (SPP1). Inflammation, T-cell activation, and apoptosis are
            RNA sequencing is a process for determining the    caused by SPP1. Proteoglycan 4 is detected in the severe stage
            nucleotide sequence of an RNA molecule in a specific   of RA. According to some studies, a correlation exists between
            sample. The primary principle is based on a high-output   the expression levels of transcripts linked to hematopoiesis,
            sequencing technique with a computational technique   interferon-mediated immunity, and cell trafficking and the
            to  capture  and  quantify  transcripts  present  in  an RNA   advancement of arthritis. 27,28
            extract. The nucleotide sequences generated are typically
            approximately 100  bp in length, but they can range   3. Application of next-generation RNA
            from 30  bp to more than 10,000  bp, depending on the   sequencing (RNA-seq) in RA research
            sequencing method used. In this method, RNA can first
            be isolated from biological samples and converted into   The cutting-edge method known as “next-generation RNA
            double-stranded DNA molecules that serve as a template   sequencing” is used to analyze transcriptomes and provides
            for DNA polymerases during next-generation sequencing   extremely high yields by determining the nucleotide order
            (NGS) library preparation. These DNA copies are known   in certain genomes or targeted DNA or RNA sections. The
            as complementary DNA (cDNA), and the generation of   discipline of RNA sequencing is revolutionized by NGS.
            cDNA is initiated using the reverse transcriptase enzyme   The three primary benefits of NGS are its cost-effectiveness,
            and priming to form the first strand of cDNA.      high throughput, and precise RNA characterization. The
                                                               current research using RNA-seq for RA theranostics is
              The second strand is synthesized using DNA       presented in Table 2.
            polymerase, leading to the formation of double-stranded
            cDNA. In the next step known as adapter ligation, the   3.1. Novel biomarker discovery
            adapters ligated to the cDNA fragments and the resulting   Biomarkers are biological substances found in bodily fluids
            library molecules are amplified and sequenced.  In this   such as blood and tissues that indicate the presence of a
                                                   12
            method, short-read sequencing and map construction of   disease. Some biomarkers for RA include rheumatoid factor,
            the reads using a reference genome are performed using   anticyclic citrullinated peptide, erythrocyte sedimentation
            tools such as HISAT2 or STAR, and novel transcripts are   rate, and C-reactive protein. Imaging biomarkers such as
            assembled using tools such as StringTie. Other tools such   X-rays and MRIs can detect joint erosion and synovitis.
            as HTseq help in estimating the expression levels of the   Genes such as SNPs and HLA-DRB1 can also function as
            transcripts. Three factors, namely transcript level, transcript   biomarkers, helping to determine the severity and course
            length, and sequencing depth, affect the number of read   of a disease. Elevated levels of chemokines and cytokines
            transcripts that can be detected in a sample. RNA-seq   during the proinflammatory phase can also be detected in
            does not require prior genomic information, which makes   certain patients with RA. 29-32
            it suitable for analyzing transcriptomes in non-model
            species. 13,14  Transcriptome analysis is generally performed   3.2. Identification of dysregulated pathways
            for two major purposes; one is qualitative estimation,   RNA sequencing helps in determining the RA pathways.
            that is, identification of genes and their isoforms, and the   RNA-seq facilitates the determination of transcriptome
            other is quantitative analysis, that is, estimating the gene   abundance levels and allows for the comparison of gene
            expression or relative expression in different biological   expression patterns with those of a healthy individual.
            samples.  RNA is less stable than DNA; however, the   The genes that are dysregulated help in indicating the
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            transcriptome is considerably more cell- and tissue-specific   molecular pathways. 23
            than the genome and is crucial for the generation of high-
            quality data.  Table 1 shows the transcriptomes used for   3.3. Gene ontology
                      16
            RNA-seq to demonstrate the relevance of the approach   Gene ontology helps in the processing of RNA-seq raw
            across several conditions beyond RA.               data. It involves quality control to remove any reading of


            Volume 8 Issue 1 (2025)                         17                               doi: 10.36922/itps.4449
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