Brain aging - OmicsDI

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Unknown (17377)
Genomics (1131)
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Proteomics (308)
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Other (40)
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Organisms

Mus musculus (613)
Homo sapiens (253)
Aerococcus urinae NBRC 15544 = CCUG 36881 (219)
Andropogon gerardi (219)
Rattus norvegicus (77)
Drosophila melanogaster (37)
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synthetic construct (2)
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Astyanax mexicanus (1)
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Schizosaccharomyces pombe (1)
Gallus gallus (1)
Ovis aries (1)

Organisms

Mus musculus (539)
Homo sapiens (195)
Rattus norvegicus (44)
Drosophila melanogaster (27)
Nothobranchius furzeri (15)
Macaca mulatta (13)
Danio rerio (8)
mouse gut metagenome (5)
feces metagenome (3)
Microcebus murinus (2)
Astyanax mexicanus (2)
Caenorhabditis elegans (2)
Canis lupus familiaris (2)
Harpegnathos saltator (1)
Temnothorax rugatulus (1)
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Lactiplantibacillus plantarum (1)
Mus musculus musculus (1)
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Mus musculus domesticus (1)
Tupaia belangeri (1)
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Saccharomyces cerevisiae (1)
Gallus gallus (1)

Repository

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geo (720)
biostudies-arrayexpress (260)
pride (219)
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NODE (2)
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Tissue

Brain (164)
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Cell culture (17)
Kidney (17)
Heart (16)
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Lung (11)
Brain (8)
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Layer of hippocampus (5)
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Blood serum (1)

Disease

Alzheimer's disease (27)
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Normal (6)
Disease free (4)
Asymptomatic Alzheimer's disease (2)
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Huntington Disease (2)
Genetic frontotemporal degeneration with dementia (1)
Genetic frontotemporal degeneration with FUS inclusions (1)
Pathological aging (1)
Genetic frontotemporal degeneration with TDP inclusions (1)
Corticobasal degeneration (1)
Pick disease (1)
Lewy body dementia (1)
Multiple system atrophy (1)
Tangle predominant senile dementia (1)
Amyotrophic lateral sclerosis with dementia (1)
Parkinson's disease and Parkinson's disease dementia (1)
Genetic frontotemporal degeneration with ubiquitin inclusions (1)
Progressive supranuclear palsy (1)
Multiple sclerosis (1)
Temporal lobe epilepsy (1)
Brain cancer (1)
Cerebrovascular disease (1)
Cognitive disorder (1)
Degenerative disc disease (1)
Down syndrome (1)
Frontotemporal dementia (1)
Glioblastoma (1)
Hydrocephalus (1)

Technology Type

Mass Spectrometry (227)
Shotgun proteomics (102)
Bottom-up proteomics (57)
Data-dependent acquisition (39)
Mass spectrometry (19)
Data-independent acquisition (18)
Affinity purification coupled with mass spectrometry proteomics (16)
SWATH MS (16)
Top-down proteomics (14)
Mass spectrometry assay (8)
ESI (7)
Gel-based experiment (5)
EI (4)
Chemical cross-linking coupled with mass spectrometry proteomics (4)
NMR spectroscopy (3)
DiaPASEF (2)
HDMSE (2)
SRM/MRM (2)
Illumina MiSeq (1)
Affinity proteomics (1)
MSE (1)
Mass spectrometry imaging (1)
Olink affinity proteomics (1)

Instrument Platform

Orbitrap Exploris 480 (30)
Illumina NovaSeq 6000 (14)
Orbitrap Fusion Lumos (10)
Illumina HiSeq 2500 (6)
Q Exactive HF-X (6)
Q Exactive (5)
Illumina NovaSeq X (4)
NanoACQUITY UPLC System with 1D Technology (4)
NextSeq 500 (3)
LTQ Orbitrap Velos (3)
- (2)
NextSeq 2000 (2)
Illumina HiSeq 3000 (2)
Illumina HiSeq 4000 (2)
Q Exactive Plus (2)
TripleTOF 5600 (2)
Q Exactive HF (2)
TimsTOF Pro (2)
TripleTOF 6600 (2)
-- (1)
Single nuclei were captured using the 10x Genomics Chromium Controller. (1)
Illumina® (NEB, USA) (1)
10X Chromium Controller (1)
Covaris, NEBNext Ultra II DNA library prep kit (1)
G2565AA DNA microarray scanner [Agilent] (1)
Illumina Genome Analyzer IIx (1)
Illumina HiSeq 2000 (1)
TripleTOF 5600+|1002584 (1)
LTQ Orbitrap (1)
Orbitrap Ascend (1)

Publication Date

2025 (209)
2024 (174)
2026 (156)
2023 (121)
2022 (87)
2021 (81)
2015 (58)
2020 (56)
2019 (45)
2018 (40)
2013 (40)
2014 (33)
2011 (33)
2010 (31)
2016 (28)
2012 (27)
2017 (25)
2007 (25)
2008 (22)
2009 (13)
2006 (9)
2005 (4)
2004 (2)

UNIPROT ID/AC

10116.ENSRNOP00000000015 (1)
10116.ENSRNOP00000001467 (1)
10116.ENSRNOP00000004127 (1)
10116.ENSRNOP00000004657 (1)
10116.ENSRNOP00000006978 (1)
10116.ENSRNOP00000007070 (1)
10116.ENSRNOP00000007645 (1)
10116.ENSRNOP00000008688 (1)
10116.ENSRNOP00000010592 (1)
10116.ENSRNOP00000010798 (1)
10116.ENSRNOP00000011963 (1)
10116.ENSRNOP00000019755 (1)
10116.ENSRNOP00000020883 (1)
10116.ENSRNOP00000025675 (1)
10116.ENSRNOP00000028520 (1)
10116.ENSRNOP00000028732 (1)
10116.ENSRNOP00000030153 (1)
10116.ENSRNOP00000031360 (1)
10116.ENSRNOP00000038503 (1)
10116.ENSRNOP00000040582 (1)
10116.ENSRNOP00000046899 (1)
10116.ENSRNOP00000050143 (1)
10116.ENSRNOP00000050794 (1)
10116.ENSRNOP00000051853 (1)
10116.ENSRNOP00000052803 (1)
10116.ENSRNOP00000054052 (1)
10116.ENSRNOP00000054270 (1)
10116.ENSRNOP00000054637 (1)
10116.ENSRNOP00000055416 (1)
10116.ENSRNOP00000059667 (1)

CHEBI ID

CHEBI:18089 (8)
CHEBI:17929 (8)
CHEBI:15724 (4)
ChEBI:16247 (1)
CHEBI:18139 (1)
CHEBI:35940 (1)
CHEBI:28384 (1)
CHEBI:29256 (1)
CHEBI:17433 (1)
CHEBI:7872 (1)
CHEBI:15986 (1)
CHEBI:7347 (1)
CHEBI:17739 (1)
CHEBI:28920 (1)
CHEBI:15421 (1)
CHEBI:36999 (1)
CHEBI:15701 (1)
CHEBI:16044 (1)
CHEBI:15989 (1)
CHEBI:17166 (1)
CHEBI:16934 (1)
CHEBI:18202 (1)
CHEBI:15947 (1)
CHEBI:18040 (1)
CHEBI:17261 (1)
CHEBI:27418 (1)
CHEBI:17894 (1)
CHEBI:24108 (1)
CHEBI:28189 (1)
CHEBI:7542 (1)

Metabolite Name

Taurine (11)
Carnosine (9)
Uridine (9)
Creatinine (9)
Hypoxanthine (9)
Xanthine (8)
Creatine (8)
Inosine (8)
ATP (7)
Myo-Inositol (7)
Adenine (7)
Glycerophosphocholine (7)
Leucine (6)
IMP (6)
Uracil (6)
ADP (6)
Asparagine (6)
Adenosine (6)
Cytidine (6)
Guanosine (6)
L-Tyrosine (6)
Malate (5)
N-Acetyl-D-glucosamine (5)
D-Fructose (5)
AMP (5)
Urate (5)
Betaine (5)
Citrulline (5)
Glutathione (5)
GMP (5)

First Public Date

2025 (183)
2024 (159)
2026 (150)
2023 (120)
2014 (87)
2021 (78)
2022 (76)
2020 (47)
2019 (40)
2018 (30)
2017 (26)
2015 (18)
2013 (11)
2016 (4)

Modelling Approach

Constraint-based model (1)

Lab affiliation

Department of Animal and Poultry Sciences and the School of Neuroscience, Virginia Tech, Blacksburg, VA, USA (8)
DZNE Munich, Neuroproteomics, Feodor-Lynen Str. 17, 81377 Munich, Germany (5)
Cleveland Clinic Lerner Research Institute Cardiovascular and Metabolic Sciences (3)
Associate Professor, School of Animal Sciences Core Faculty, School of Neuroscience Faculty of Health Sciences Vice Chair, Institutional Biosafety Committee (IBC) Virginia Tech (2)
Biochemistry, Boston University (2)
Cologne Excellence Cluster Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany (2)
Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY 10461, United States (2)
Department of Chemical Sciences, University of Naples, Federico II, 80126, Naples, Italy (2)
Department of Chemistry and Biomolecular Chemistry, University of Wisconsin, Wisconsin, USA (2)
Department of Chemistry, Johns Hopkins University, Baltimore, Maryland, United States (2)
Department of Immunobiology, College of Life Science and Technology, Jinan University, Guangzhou, China. (2)
Dept. Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Sweden (2)
Institute for Genetics, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), Cologne, Germany (2)
Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, National Key Laboratory of Medical Molecular Biology & Department of Immunology, No 5 Dongdan Santiao, Dongcheng district, Beijing 100005, China (2)
Keck MS & Proteomics Resource Yale School of Medicine (2)
Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) Beutenbergstrasse 11 07745 Jena, Germany (2)
Max Planck Institute of Biochemistry, Martinsried, Germany (2)
National Key Laboratory of Medical Molecular Biology & Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences (2)
Paracelsus Private Medical University, Salzburg, Austria (2)
Proteomics Unit Navarrabiomed, Pamplona, Spain (2)
1) Department of Cancer Biology, Dana–Farber Cancer Institute, Boston, MA, USA. 2) Department of Cell Biology, Harvard Medical School, Boston, MA, USA. (1)
1. German Center for Neurodegenerative Diseases (DZNE), 89081 Ulm, Germany 2. Department of Neurology, University Clinic Ulm, 89081 Ulm, Germany (1)
Analytical Chemistry Lab, Fondazione Istituto Italiano di Tecnologia (1)
Antwerp University Faculty of Pharmaceutical, Biomedical and Veterinary Sciences Protein Chemistry, Proteomics and Epigenetic Signalling - PPES VITO, Unit Environmental Risk and Health (1)
Appel Alzheimer's Disease Research Institute & Brain and Mind Research Institute Weill Cornell Medicine New York, NY USA (1)
Associate Professor, Department of Neurology, Yale University School of Medicine (1)
Barshop Institute for Longevity and Aging Studies, Department of Cell Systems and Anatomy, UT San Antonio (1)
BayBioMS@MRI - Bavarian Center for Biomolecular Mass Spectrometry at the University hospital rechts der Isar Technical University of Munich (1)
Ben-Gurion University (1)
Biochemistry and Molecular Biology Department of Chemistry University of Hamburg, Hamburg, Germany (1)

IsPrivate

False (2)

Model Flag

Non Kinetic (1)

Modification

4-tetrahydrothiazine-3-carboxylic acid (2)

Study type

Transcription profiling by array (162)
RNA-seq of coding RNA (33)
Methylation profiling by array (14)
ChIP-seq (8)
RNA-seq of non coding RNA (8)
Unknown experiment type (6)
RNA-seq of coding RNA from single cells (5)
Single nucleus RNA sequencing (4)
Animal - One-color microarray (2)
ChIP-chip by array (2)
ScATAC-seq (2)
DNA-seq (2)
Methylation profiling by high throughput sequencing (2)
Transcription profiling by SAGE (1)
Differential (1)
Human - One-color microarray (1)
Cell line - High-throughput sequencing (1)
Transcription profiling by RT-PCR (1)
Spatial transcriptomics by high-throughput sequencing (1)
RIP-seq (1)
MicroRNA profiling by array (1)
RNA-seq of total RNA (1)

Release Date

2025 (2266)
2022 (2034)
2023 (1983)
2024 (1971)
2021 (1938)
2020 (1473)
2019 (1145)
2018 (970)
2017 (750)
2016 (670)
2015 (584)
2014 (464)
2026 (285)
2013 (278)
2012 (257)
2011 (170)
2010 (133)
2009 (97)
2008 (72)
2007 (41)
2006 (16)
2004 (13)
2005 (9)
2000 (5)
2003 (4)
2002 (4)
2001 (4)
1996 (1)

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Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain (Mouse brain NEG UPLC-MS assay)

INTRODUCTION: The absolute quantitation of lipids at the lipidome-wide scale is a challenge but plays an important role in the comprehensive study of lipid metabolism.

OBJECTIVES: We aim to develop a high-throughput quantitative lipidomics approach to enab...

2018-08-03 | MTBLS495 | MetaboLights

Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain (Mouse brain POS UPLC-MS assay)

INTRODUCTION: The absolute quantitation of lipids at the lipidome-wide scale is a challenge but plays an important role in the comprehensive study of lipid metabolism.

OBJECTIVES: We aim to develop a high-throughput quantitative lipidomics approach to enab...

2018-08-03 | MTBLS562 | MetaboLights

A Metabolome Atlas of the Aging Mouse Brain

Not available

ORGANISM(S): Mus musculus

ST001637 | MetabolomicsWorkbench

Local and systemic metabolic alterations in brain, plasma, and liver of rats in response to aging and ischemic stroke, as detected by nuclear magnetic resonance (NMR) spectroscopy

Cerebral ischemia and aging induce local and systemic effects, and impact severity of stroke outcome. We performed comprehensive metabolic profiling to detect metabolites in brain, plasma, and liver as a function of aging and ischemia/reperfusion (IR). Ischemic stroke was induced by middle cerebral ...

2019-02-01 | MTBLS516 | MetaboLights

A Metabolome Atlas of the Aging Mouse Brain (Study part II)

Not available

ORGANISM(S): Mus musculus

ST001888 | MetabolomicsWorkbench

Ion mobility-based sterolomics reveals spatially and temporally distinctive sterol lipids in the mouse brain

Aberrant sterol lipid metabolism is associated with physiological dysfunctions in the aging brain and aging-dependent disorders such as neurodegenerative diseases. There is an unmet demand to comprehensively profile sterol lipids spatially and temporally in different brain regions during aging. Here...

2021-05-24 | MTBLS2457 | MetaboLights

Ten Mouse Organs Proteome and Metabolome Atlas from Adult to Aging

The complexity of the aging process, encompassing numerous organs and systems, poses a significant challenge in identifying and targeting key factors that drive age-related decline. The multi-organ synchronous molecular intricacies underlying natural aging remain elusive. Here we presented a data...

2025-08-29 | MTBLS10642 | MetaboLights

A metabolome atlas of mouse brain on the global metabolic signature dynamics following short-term fasting

Calorie restriction (CR) or a fasting regimen is considered one of the most potent non-pharmacological interventions to prevent chronic metabolic disorders, ameliorate autoimmune diseases, and attenuate aging. Despite efforts, the mechanisms by which CR improves health, particularly brain health, ar...

2025-07-31 | MTBLS8006 | MetaboLights

Proteome changes during mouse brain aging

Analysis of proteome changes during mouse brain aging

ORGANISM(S): Mus Musculus (ncbitaxon:10090)

MSV000082968 | MassIVE

Transcription profiling of aging in the primate brain

An experiment was performed to study effects of aging on gene expression in chimpanzee brains.

ORGANISM(S): Pan troglodytes

2005-08-03 | E-TABM-25 | biostudies-arrayexpress

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