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Status |
Public on Jan 03, 2024 |
Title |
Establishing mRNA and miRNA interactions driving disease heterogeneity in ALS patient survival (microarray) |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
Transcriptomic analysis of lymphoblastoid cell lines from ALS patients with varying disease duration Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, associated with the degeneration of both upper and lower motor neurons of the motor cortex, brainstem and spinal cord. Death in most patients results from respiratory failure within 3-4 years from symptom onset. However, due to disease heterogeneity some individuals survive only months from symptom onset while others live for several years. Identifying specific biomarkers that aid in establishing disease prognosis, particularly in terms of predicting disease progression, will help our understanding of ALS pathophysiology and could be used to monitor a patient’s response to drugs and therapeutic agents. Transcriptomic profiling technologies are continually evolving, enabling us to identify key gene changes in biological processes associated with disease. MicroRNAs (miRNAs) are small non-coding RNAs typically associated with regulating gene expression, by degrading mRNA or reducing levels of gene expression. Being able to associate gene expression changes with corresponding miRNA changes would help to distinguish a more complex biomarker signature enabling us to address key challenges associated with complex diseases such as ALS.
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Overall design |
The present study aimed to investigate the transcriptomic profile (mRNA and miRNA) of lymphoblastoid cell lines (LCLs) from ALS patients to identify key signatures that are distinguishable in those patients who suffered a short disease duration (< 12 months) compared to those that had a longer disease duration (>6 years). Affymetrix Human Exon 1.0ST GeneChip microarrays were used to assess mRNA/gene changes, while small RNA sequencing of miRNA extracted from peripheral LCL’s from ALS patients with short and long disease was performed using the Illumina TruSeq Small RNA library preparation kit and Illumina HiScanSQ.
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Contributor(s) |
Waller R, Bury JJ, Appleby-Mallinder C, Wyles M, Loxley G, Babel A, Shekari S, Kazoka M, Wolff H, Heath PR, Shaw PJ, Kirby J |
Citation(s) |
38162899 |
Submission date |
Aug 26, 2022 |
Last update date |
Jan 04, 2024 |
Contact name |
Rachel Waller |
E-mail(s) |
r.waller@sheffield.ac.uk
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Organization name |
The University of Sheffield
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Department |
Neuroscience
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Street address |
SITraN, 385A Glossop Road
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City |
SHEFFIELD |
State/province |
South Yorkshire |
ZIP/Postal code |
S102HQ |
Country |
United Kingdom |
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Platforms (1) |
GPL5175 |
[HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [transcript (gene) version] |
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Samples (42)
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This SubSeries is part of SuperSeries: |
GSE212134 |
Establishing mRNA and microRNA interactions driving disease heterogeneity in Amyotrophic lateral sclerosis |
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Relations |
BioProject |
PRJNA874073 |