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INNOSC Theranostics and
            Pharmacological Sciences                                              Transcriptome-based RNA sequencing




                                       References  25       26




                                       Year of   study  2017  2012



                                            The study used RNA-seq   technology to identify a   higher number of DEGs   than previous microarray-  based expression profiles,   which can be used for   biomarker testing and  therapy of pancreatic cancer.  The mRNA sequencing–  centered approach can   provide a more precise   deconvolution of the   transcriptional and post-  transcriptional aspects of




                                       Findings                         breast cancer.



                                       RNA sequence analysis   and database   The TopHat2 alignment   tool mapped 95.5% of the   sequenced reads to the   hg19 genome assembly,   with the RefSeq database   providing the number   of components in each   identified gene.  The TopHat program 1.1.4   was used to align the pair-  end readings. The OMIM   database was used.










                                       Transcriptome profile  The transcriptome   profile revealed 2736   DEGs with a false   discovery rate of <0.05,   including six microRNAs   and 1554 upregulated   and 1182 downregulated   DEGs.  mRNA sequencing   identified 75,000   transcripts in samples,   including GNB2L1,   CANX, B2M, and   SPARC, affecting cell   motility, antiapoptosis   effect, migration, and   stress management,   which are linked   to breast cancer   progres









                                       Methodology adopted  RNA-seq of all 20 samples   was successfully performed   using nucleotide   distributions and high-  quality parameters, with   reading sequences being 2   × 76 bp long.  Ribosomal RNA was   extracted from total   RNA using RiboMinus   Eukaryote Kits and  assembled into transcripts  using Cufflinks; PCA plots   were constructed and   clustered using Avadis   NGS software. lncRNA: Long non-coding RNA; qRT–PCR: Qua















                                       Study pattern  The surrounding benign   pancreatic tissues and the  matching tumor transcriptomes  were examined in 10 patients  who underwent PDAC surgery.  The study examined the   transcriptome expression  patterns of HER2-positive,   TNBC, and non-TNBC  breast tumors using Illumina  technology, resulting in 1.2  billion high-quality raw reads.




                                   Table 1. (Continued)  Condition/  disease  No.  Pancreatic ductal   adenocarcinoma   (PDAC)  Breast cancer







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            Volume 8 Issue 1 (2025)    S.   9               20                               doi: 10.36922/itps.4449
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