Single-Cell Gene Expression, Clonality, and Feature Barcoding of Melanoma Tumor-Infiltrating Lymphocytes

Pizzolla, Angela; Keam, Simon P.; D’Souza, Criselle; Semple, Timothy; Neeson, Paul J.

doi:10.1007/978-1-0716-1205-7_37

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Prediction Of Mrna Expressions1

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2023

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“…Gene expression is a transcriptionally regulated dynamic process in organisms [25]. Transcriptional regulation determines how and when a gene is converted from DNA to RNA for the exertion of its biological activities, and TFs are one of the major regulator types [26].…”

Section: Prediction Of Mrna Expressionsmentioning

confidence: 99%

Seven non-Differentially Expressed ‘Dark Biomarkers’ Show Transcriptional Dysregulation in Chronic Lymphocytic Leukemia

et al. 2023

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Aim: Transcriptional regulation is actively involved in the onset and progression of various diseases. This study used the feature-engineering approach model-based quantitative transcription regulation to quantitatively measure the correlation between mRNA and transcription factors in a reference dataset of chronic lymphocytic leukemia (CLL) transcriptomes. Methods: A comprehensive investigation of transcriptional regulation changes in CLL was conducted using 973 samples in six independent datasets. Results & conclusion: Seven mRNAs were detected to have significantly differential model-based quantitative transcription regulation values but no differential expression between CLL patients and controls. We called these genes ‘dark biomarkers’ because their original expression levels did not show differential changes in the CLL patients. The overlapping lncRNAs might have contributed their transcripts to the expression miscalculations of these dark biomarkers.

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Section: Prediction Of Mrna Expressionsmentioning

confidence: 99%