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INNOSC Theranostics and
Pharmacological Sciences Transcriptome-based RNA sequencing

Table 2. Recent studies on transcriptomic RNA-seq in RA
S. No. Purpose Study pattern Sample type Methodology Justification Year of References
study
1 This study aimed to Varying responses Blood samples A study involving 22 The researchers found that 2024 46
identify proteomic, to abatacept in patients with RA using distinct monocyte-derived
transcriptomic, and patients with RA are abatacept measured transcriptome features
cellular markers that attributed to unknown gene expression, before treatment account
indicate abatacept molecular pathways. plasma protein, and for the differences in
resistance in patients The study clarified the surface molecule abatacept effectiveness. The
with RA. low effectiveness of levels using flow information was obtained
abatacept in RA using cytometry and RNA through transcriptomic
transcriptomic RNA-seq. sequencing, with seven RNA-seq.
responders and 50 non-
responders.
2 The aim of the Gene expression data Synovium Samples from Transcriptomic RNA-seq 2024 47
project was to use from 202 patients with 245 patients who analysis using relevant
transcriptomic arthritis were used to underwent knee synovial tissues revealed
RNA-seq to identify create a synovium gene replacement surgery genes previously linked
genes and pathways expression predicting were subjected to to RA, providing novel
related to RA. model, followed by transcriptomic information on the
transcriptome-wide sequencing, genotyping, fundamental genetic
association analysis RNA extraction, and composition of RA.
using FUSION software RNA-seq, with the
and RNA-seq. human reference genome
(hg19) mapped to the
findings.
3 This study aimed to In synovial cells from Synovium The study visualized ScRNA-seq identified three 2023 48
use transcriptomic patients with RA, single- macrophage spatial macrophage cell clusters in
RNA-seq to discover cell RNA sequencing or distribution using RA synovial macrophages,
discrete populations scRNA-seq was used to transcriptomic and revealing distinct polarized
of macrophages and identify gene fingerprints scRNA-seq data, states and molecular
their distinguishing and subsets of cells. flow cytometry, markers, helping in the
characteristics in immunofluorescence, development of a unique
the RA synovium to and transcription therapeutic strategy.
treat RA. factor analysis
to study the macrophage
polarization markers CD86
and CD206.
4 The aim of the The study used scRNA- Peripheral Single-cell 3′-gene level This study described 2023 49
experiment was seq data from four RA blood samples libraries were generated the present status of the
to discover novel samples and single-cell from peripheral blood immune system and
targets for therapy transcriptomic data samples and processed cell communication in
and provide fresh from healthy control using Cell Ranger the peripheral blood
insights into the samples to understand software, and DEGs were of patients with RA,
peripheral blood RA development identified using the Find including the gene
immunological mechanisms, identify Markers function of the expression patterns,
processes of RA therapeutic targets, and Seurat package. PBMC abundance, and
using transcriptomic develop disease settings. alterations in signaling
scRNA-seq. pathways. Furthermore,
it discovered a number
of important cell
subpopulations and
particular genes that
aided in the discovery of
novel therapeutic
targets.
(Cont'd...)

Volume 8 Issue 1 (2025) 21 doi: 10.36922/itps.4449