Page 25 - ITPS-8-1

INNOSC Theranostics and
Pharmacological Sciences Transcriptome-based RNA sequencing

References 21 22 23 24 (Cont'd...)

Year of study 2021 2021 2021 2019

The study revealed transcriptome profiles, established the evolutionary history of carcinogenesis, described intra- and inter- tumor heterogeneity, and identified BCSCs. The lncRNA pattern of patients with SLE, influenced by the Th cell differentiation-associated lncRNA AC007278.2, may regulate inflammatory response genes, improving the understanding of the role of lncRNAsin SLE etiology and development. Whole-transcriptome

Findings mechanism.

RNA sequence analysis and database The accession code GSE180286 was used to store the scRNA-seq data in the GEO database. Ten SLE samples were selected at random and five controls were used in the investigation. The NCBI GEO database contained the RNA-seq data. This study used the GenCLiP 3, GeneCards, and Online Mendelian Inheritance in Man (OMIM) databases to identify inflammation- related targets, merging increased lev

Transcriptome profile Overall, 10 matching axillary lymphatic nodes and 96,796 individual cells from 5 primary tumors were used to construct UMAP maps. The levels of expression were represented using heatmaps. The transcriptome profiles of patients with SLE were significantly dysregulated, with >95% of coexpression combinations showing positive correlations, suggesting underlying transcription-promoting effects of lncRN

Methodology adopted This study involved five female patients with breast cancer, including triple- negative and non-TNBC types, and performed scRNA-seq analysis of primary tumors and matching lymph nodes. The study used 10 µg of total RNA. Cutadapt was used to remove adaptors and low-quality bases, and transcriptome data were retrieved from two other studies for RNA-seq data processing. Gene sequencing libraries were created

Using RNA-seq and trajectory analysis, the researchers identified CD44+/ALDH2+/ ALDH6A1+ breast cancer stem cells (BCSCs) and verified their Researchers analyzed lncRNA profiles and dysregulation in the peripheral blood mononuclear cells of patients with SLE using RNA-seq of PBMCs and other published transcriptome sequencing of the peripheral blood samples of 14 patients with COVID-19 and four healthy donors revealed four modules

Study pattern pluripotency. datasets. Whole-transcriptome DE mRNAs. deletion.

Table 1. (Continued) Condition/ disease No. Breast cancer Systemic lupus erythematosus (SLE) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)or COVID-19 Cervical cancer

S.
5

Volume 8 Issue 1 (2025) 6 19 7 8 doi: 10.36922/itps.4449