ReviewBrain sciences2023
Data Mining of Microarray Datasets in Translational Neuroscience.
Review in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Palmitic acid-induced autolysosomal dysfunction and lipotoxicity in neuroinflammation and neurodegeneration.Neural regeneration research · 2026Article
- Research advances in key genes and regulatory mechanisms of posttranslational modifications in Parkinson's disease.PloS one · 2026Article
- Bridging the translational gap in systems neuroscience: from circuit mechanisms to clinical therapeutics.Frontiers in pharmacology · 2026Review
- TNF as a mediator of metabolic inflammation and body-brain interaction in obesity-driven neuroinflammation and neurodegeneration.Ageing research reviews · 2025Review
- Autolysosomal Dysfunction in Obesity-induced Metabolic Inflammation and Related Disorders.Current obesity reports · 2025Review
- Lysosomal acidification impairment in astrocyte-mediated neuroinflammation.Journal of neuroinflammation · 2025Review
- Editorial: Lipid metabolism dysregulation in obesity-related diseases and neurodegeneration.Frontiers in endocrinology · 2025Article
- Review
- Acidic Nanoparticles Restore Lysosomal Acidification and Rescue Metabolic Dysfunction in Pancreatic β-Cells under Lipotoxic Conditions.ACS nano · 2024Article
- Blood-Brain Barrier-Targeting Nanoparticles: Biomaterial Properties and Biomedical Applications in Translational Neuroscience.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Identification of Molecular Correlations of GSDMD with Pyroptosis inAlzheimer's Disease.Combinatorial chemistry & high throughput screening · 2024Article
- Therapeutic targeting of obesity-induced neuroinflammation and neurodegeneration.Frontiers in endocrinology · 2024Review
- Integrated Transcriptomic and Machine Learning Analysis IdentifiesInternational journal of general medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
Data mining involves the computational analysis of a plethora of publicly available datasets to generate new hypotheses that can be further validated by experiments for the improved understanding of the pathogenesis of neurodegenerative diseases. Although the number of sequencing datasets is on the rise, microarray analysis conducted on diverse biological samples represent a large collection of datasets with multiple web-based programs that enable efficient and convenient data analysis. In this review, we first discuss the selection of biological samples associated with neurological disorders, and the possibility of a combination of datasets, from various types of samples, to conduct an integrated analysis in order to achieve a holistic understanding of the alterations in the examined biological system. We then summarize key approaches and studies that have made use of the data mining of microarray datasets to obtain insights into translational neuroscience applications, including biomarker discovery, therapeutic development, and the elucidation of the pathogenic mechanisms of neurodegenerative diseases. We further discuss the gap to be bridged between microarray and sequencing studies to improve the utilization and combination of different types of datasets, together with experimental validation, for more comprehensive analyses. We conclude by providing future perspectives on integrating multi-omics, to advance precision phenotyping and personalized medicine for neurodegenerative diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.