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Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer’s disease pathology
by
Riethmüller, Michael Peter Sascha
, Zebardast, Fatemeh
, Nowick, Katja
in
631/114
/ 631/208
/ 631/378
/ 692/617
/ 692/699
/ Aged
/ Alzheimer Disease - genetics
/ Alzheimer Disease - metabolism
/ Alzheimer Disease - pathology
/ Alzheimer's disease
/ Brain
/ Brain - metabolism
/ Brain - pathology
/ Comparative analysis
/ Consensus gene co-expression network
/ Cortex (frontal)
/ Datasets
/ Dementia
/ Demography
/ Female
/ Frontal Lobe - metabolism
/ Frontal Lobe - pathology
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ Humanities and Social Sciences
/ Humans
/ Independent study
/ Long non-coding RNAs (lncRNA)
/ Male
/ multidisciplinary
/ Neurodegenerative diseases
/ Non-coding RNA
/ Pathology
/ Proteins
/ Random walk with restart (RWR)
/ RNA, Long Noncoding - genetics
/ RNA, Long Noncoding - metabolism
/ Science
/ Science (multidisciplinary)
/ Temporal lobe
/ Temporal Lobe - metabolism
/ Temporal Lobe - pathology
/ Weighted topological overlap (wTO)
2025
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Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer’s disease pathology
by
Riethmüller, Michael Peter Sascha
, Zebardast, Fatemeh
, Nowick, Katja
in
631/114
/ 631/208
/ 631/378
/ 692/617
/ 692/699
/ Aged
/ Alzheimer Disease - genetics
/ Alzheimer Disease - metabolism
/ Alzheimer Disease - pathology
/ Alzheimer's disease
/ Brain
/ Brain - metabolism
/ Brain - pathology
/ Comparative analysis
/ Consensus gene co-expression network
/ Cortex (frontal)
/ Datasets
/ Dementia
/ Demography
/ Female
/ Frontal Lobe - metabolism
/ Frontal Lobe - pathology
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ Humanities and Social Sciences
/ Humans
/ Independent study
/ Long non-coding RNAs (lncRNA)
/ Male
/ multidisciplinary
/ Neurodegenerative diseases
/ Non-coding RNA
/ Pathology
/ Proteins
/ Random walk with restart (RWR)
/ RNA, Long Noncoding - genetics
/ RNA, Long Noncoding - metabolism
/ Science
/ Science (multidisciplinary)
/ Temporal lobe
/ Temporal Lobe - metabolism
/ Temporal Lobe - pathology
/ Weighted topological overlap (wTO)
2025
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Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer’s disease pathology
by
Riethmüller, Michael Peter Sascha
, Zebardast, Fatemeh
, Nowick, Katja
in
631/114
/ 631/208
/ 631/378
/ 692/617
/ 692/699
/ Aged
/ Alzheimer Disease - genetics
/ Alzheimer Disease - metabolism
/ Alzheimer Disease - pathology
/ Alzheimer's disease
/ Brain
/ Brain - metabolism
/ Brain - pathology
/ Comparative analysis
/ Consensus gene co-expression network
/ Cortex (frontal)
/ Datasets
/ Dementia
/ Demography
/ Female
/ Frontal Lobe - metabolism
/ Frontal Lobe - pathology
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ Humanities and Social Sciences
/ Humans
/ Independent study
/ Long non-coding RNAs (lncRNA)
/ Male
/ multidisciplinary
/ Neurodegenerative diseases
/ Non-coding RNA
/ Pathology
/ Proteins
/ Random walk with restart (RWR)
/ RNA, Long Noncoding - genetics
/ RNA, Long Noncoding - metabolism
/ Science
/ Science (multidisciplinary)
/ Temporal lobe
/ Temporal Lobe - metabolism
/ Temporal Lobe - pathology
/ Weighted topological overlap (wTO)
2025
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Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer’s disease pathology
Journal Article
Integrative gene co-expression network analysis reveals protein-coding and LncRNA genes associated with Alzheimer’s disease pathology
2025
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Overview
Alzheimer’s disease (AD) is a complex neurodegenerative disorder marked by widespread molecular changes, many of which remain poorly understood. While AD pathology progresses through specific brain regions, it is unclear whether these regions are affected similarly. Long non-coding RNAs (lncRNAs), emerging as key cellular regulators, remain largely uncharacterized in AD. Understanding how lncRNAs interact with protein-coding genes across brain regions could shed light on AD mechanisms and progression. To investigate this, we performed consensus weighted gene co-expression network analysis on 396 postmortem brain RNA-seq samples using a meta-analytic approach. Our analysis revealed substantial network rewiring in AD, particularly in the temporal cortex compared to the frontal cortex. The temporal cortex exhibited adaptive changes in gene interactions, while the frontal cortex showed a breakdown of healthy correlations—possibly reflecting regional differences in disease progression. We identified 46 protein-coding genes and 27 lncRNAs as key components in the AD network of the temporal cortex. Using known functions of protein-coding genes as reference points, we inferred potential functions for over 100 lncRNAs across both regions. These findings highlight novel lncRNA candidates potentially involved in AD and provide insights into their roles in both healthy and diseased brain states.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 631/208
/ 631/378
/ 692/617
/ 692/699
/ Aged
/ Alzheimer Disease - genetics
/ Alzheimer Disease - metabolism
/ Alzheimer Disease - pathology
/ Brain
/ Consensus gene co-expression network
/ Datasets
/ Dementia
/ Female
/ Humanities and Social Sciences
/ Humans
/ Long non-coding RNAs (lncRNA)
/ Male
/ Proteins
/ Random walk with restart (RWR)
/ RNA, Long Noncoding - genetics
/ RNA, Long Noncoding - metabolism
/ Science
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