ArticleGenes & genomics2020
Application of NanoString technologies in angioimmunoblastic T cell lymphoma.
Article in Genes & genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Application of NanoString Technologies in Chronic Myeloid Leukemia, Essential Thrombocythemia, Primary Myelofibrosis, and Polycythemia Vera: A Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Fish in focus: Navigating organ damage assessment through analytical avenues - A comprehensive review.Toxicology reports · 2024Review
- TCR-T cell therapy: current development approaches, preclinical evaluation, and perspectives on regulatory challenges.Journal of translational medicine · 2024Review
- ARMT: An automatic RNA-seq data mining tool based on comprehensive and integrative analysis in cancer research.Computational and structural biotechnology journal · 2021Article
- Multiplexed gene expression analysis of HLA class II-associated podoconiosis implicates chronic immune activation in its pathogenesis.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2020Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAngioimmunoblastic T-cell lymphoma (AITL) is an aggressive disease. Most cancer diagnoses are determined by anatomical histology. Therefore, many samples are stored in FFPE blocks for H&E staining. However, RNAs extracted from the FFPE block have a high level of fragmentation, making it difficult to perform accurate DEG analysis using RNA sequencing.
objectiveTo overcome fragmented RNA's drawback in NGS application, we applied the NanoString nCounter
methodsWe characterized the gene expression profiling of AITLs though transcriptome analysis based on the nCounter
resultsNinety-one genes were up-regulated and six genes were down-regulated in AITLs compared to control. The Gene Ontology (GO) analysis of 97-DEGs revealed that they were closely related to cytokine, MAPK cascade, leukocyte differentiation, and immune response, suggesting that this affect the immune system. In addition, KEGG analysis revealed that AITL DEGs were found to be highly involved in cytokine-cytokine receptor interaction and PI3K-Akt signaling pathway.
conclusionWe believe that comprehensive multiplex studies, along with NanoString analysis, may be helpful to understand the molecular mechanisms of AITL, including mutations, gene expression, and protein expression studies.
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