Journal of Natural Science Research and Review (JNSRR) · Research article · Open access
Integrative Transcriptomic Profiling of Human Neural Tissues Reveals Core Molecular Signatures of Neurodegeneration
Ian Pranandi, Zita Arieselia
9 February 2026 · Vol. 2, Issue 2, pp. 62-66
DOI: 10.65150/EP-jnsrr/V2E2/2026-02
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What is this article about?
Background: Neurodegenerative disorders are characterized by progressive neuronal dysfunction and loss, yet their underlying molecular mechanisms remain incompletely understood. Advances in transcriptomic technologies and public data availability enable integrative bioinformatic approaches to identify conserved molecular features of neurodegeneration directly from human neural tissues.
Article at a glance
- Published
- 9 February 2026
- Volume / issue / pages
- Vol. 2, Issue 2, pp. 62-66
- ISSN
- 3051-3766 (online) · 3051-3758 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Background: Neurodegenerative disorders are characterized by progressive neuronal dysfunction and loss, yet their underlying molecular mechanisms remain incompletely understood. Advances in transcriptomic technologies and public data availability enable integrative bioinformatic approaches to identify conserved molecular features of neurodegeneration directly from human neural tissues. Methods and Results: In this study, an integrative transcriptomic analysis was performed using publicly available human neural tissue datasets from multiple neurodegenerative conditions. Differential gene expression analysis identified conserved differentially expressed genes across datasets, followed by functional enrichment and protein–protein interaction network analyses. The results revealed consistent dysregulation of pathways related to neuronal signaling, synaptic function, mitochondrial metabolism, neuroinflammation, and proteostasis. Network analysis further identified key hub genes with high connectivity, highlighting central molecular regulators involved in neurodegenerative processes. Conclusion: This integrative bioinformatic approach uncovers robust and conserved molecular signatures of neurodegeneration across human neural tissues. The identified pathways and hub genes provide a systems-level perspective on disease mechanisms and represent promising candidates for future biomarker development and therapeutic targeting in neurodegenerative diseases.
Keywords: Neurodegeneration, human nervous system, transcriptomics, bioinformatics, differential gene expression, protein–protein interaction network, systems biology
Cite this article
Ian Pranandi, & Zita Arieselia (2026). Integrative Transcriptomic Profiling of Human Neural Tissues Reveals Core Molecular Signatures of Neurodegeneration. Journal of Natural Science Research and Review, 2(2), 62-66. https://doi.org/10.65150/EP-jnsrr/V2E2/2026-02
@article{Ian2026,
title = {Integrative Transcriptomic Profiling of Human Neural Tissues Reveals Core Molecular Signatures of Neurodegeneration},
author = {Ian Pranandi and Zita Arieselia},
journal = {Journal of Natural Science Research and Review},
year = {2026},
volume = {2},
number = {2},
pages = {62-66},
doi = {10.65150/EP-jnsrr/V2E2/2026-02},
url = {https://doi.org/10.65150/EP-jnsrr/V2E2/2026-02}
}Questions about this article
Who wrote this article?
Ian Pranandi, Zita Arieselia.
Where and when was it published?
In Journal of Natural Science Research and Review, Volume 2, Issue 2, pages 62-66, published by EP Journals Group on 9 February 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jnsrr/V2E2/2026-02 (https://doi.org/10.65150/EP-jnsrr/V2E2/2026-02).
How do I cite this article?
APA: Ian Pranandi, & Zita Arieselia (2026). Integrative Transcriptomic Profiling of Human Neural Tissues Reveals Core Molecular Signatures of Neurodegeneration. Journal of Natural Science Research and Review, 2(2), 62-66. https://doi.org/10.65150/EP-jnsrr/V2E2/2026-02
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