Age estimation - OmicsDI

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Repository

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Technology Type

Mass Spectrometry (46)
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Instrument Platform

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CHEBI ID

CHEBI:15741 (7)
CHEBI:15891 (6)
CHEBI:32816 (6)
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CHEBI:28300 (5)
CHEBI:15428 (5)
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CHEBI:30816 (4)
CHEBI:25094 (4)
CHEBI:16344 (4)

Metabolite Name

Taurine (5)
Creatinine (5)
Hypoxanthine (5)
Hydrocinnamic acid (4)
Indoleacetic acid (4)
Glycine (4)
Valine (4)
Ornithine (4)
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Glutamine (4)
Glucose (4)
Citrate (4)
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Dimethyl sulfone (3)
Pyruvic acid (3)
D-Galactose (3)
3-Methylhistidine (3)
Leucine (3)
Acetoin (3)
L-Alanine (3)
Propylene glycol (3)
Uracil (3)
Betaine (3)
Thymine (3)
Orotic acid (3)
L-Aspartic acid (3)
L-Proline (3)
4-Pyridoxic acid (3)
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IsPrivate

False (1)

First Public Date

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2018 (3)
2017 (2)
2016 (2)
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2015 (1)
2013 (1)

Modelling Approach

Ordinary differential equation model (1)

Study type

Transcription profiling by array (69)
ChIP-chip by tiling array (41)
RNA-seq of coding RNA (32)
Comparative genomic hybridization by array (13)
Methylation profiling by array (9)
Unknown experiment type (4)
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Human - High-throughput sequencing (1)
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Release Date

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2003 (2)
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1999 (1)

Lab affiliation

Laboratoire de Spectrométrie de Masse BioOrganique, Analytical Science department, IPHC, CNRS, Strasbourg University, UMR7178, Strasbourg, France (2)
National Key Laboratory of Medical Molecular Biology and Department of Immunology; Institute of Basic Medical Sciences; Chinese Academy of Medical Sciences (1)
Integrative omics, Pacific Northwest National Labs (1)
Bioinformatics, TruDiagnostic, USA (1)
Prabakaran lab, Department of Genetics, University of Cambridge, United Kingdom (1)
Department of Earth and Environmental Sciences, Manchester Institute of Biotechnology, The University of Manchester (1)
Motor Neuron Disease Research Centre, Macquarie Medical School, Faculty of Medicine, Health, and Human Sciences, Macquarie University, North Ryde, NSW, Australia. (1)
The Forensic Science Unit, Faculty of Health and Life Sciences, Ellison Building, Northumbria University, Newcastle Upon Tyne, UK (1)
Neuroproteomics, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Robert-Roessle-Strasse 10, 13125 Berlin, Germany (1)
ProGenTomics, Laboratory of Pharmaceutical Biotechnology, Faculty of Pharmaceutical Sciences, Ghent University, Belgium. (1)
Dr. Sailaja V Elchuri,Department of Nanotechnology, VisionResearch Foundation, Sankara Nethralaya, 18-college Road, Nungambakkam, Chennai 600006 India (1)
Department of Chemical Sciences - University of Catania (1)
Department of Molecular Biology and Genetics, Lab of Proteome Research, Federal Research and Clinical Centre of Physical-Chemical Medicine, Malaya Pirogovskaya 1a, Moscow, 119992, Russia (1)
Department of Dental Medicine, Karolinska Institute Alfred Nobels Alle 8, 14104, Huddinge, Sweden (1)
Dept of pathology, Vision research foundation, Chennai, India (1)
Professor of Pharmacology Head Laboratory of Pharmacology of CardioImmunoMetabolic Disorders. Department of Pharmacological and Biomolecular Sciences “Rodolfo Paoletti", Coordinator Doctorate School of Pharmacological and Biomolecular Sciences, Experimental and Clinical, University of Milan, Italy. (1)
Forensic Science Research Group, Faculty of Health and Life Sciences, Applied Sciences, Northumbria University, NE1 8ST, Newcastle Upon Tyne, UK (1)
Section for Evolutionary Genomics, The GLOBE Institute, University of Copenhagen, Denmark (1)
Shemyakin-Ovchinnikov Institute of bioorganic chemistry Russian Academy of Sciences (1)
Proteomics of Stem Cells and Cancer. University Clinic Heidelberg. German Cancer Research Center. Im Neuenheimer Feld 581 Heidelberg, Germany. (1)
Animal Sciences Department, Ohio Sate University (1)
Center for RNA Research, Institute for Basic Science, Seoul, Republic of Korea.School of Biological Sciences, Seoul National University, Seoul, Republic of Korea (1)
School of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95, 62024 Matelica, MC, Italy. (1)
IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology,Kolkata, India (1)
Institut Pasteur, Infection, Genotoxicity and Cancer Team, CNRS UMR 6047, Université Paris Cité, Paris, France (1)
UK Dementia Research Institute at UCL, Cruciform Building, Gower Street, London, WC1E 6BT, UK. a.isaacs@ucl.ac.uk. (1)
Heart Institute, Cedars-Sinai Medical Center (1)
Virginia Commonwealth University (1)
Professor of Microbiology Hospital Clinic Head of the Department of Clinical Microbiology School of Medicine, University of Barcelona Barcelona, Spain (1)
Department of Clinical Sciences, Lund University, Malmö, Sweden (1)

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Discovery and validation of metabolite markers in bloodstains for bloodstain age estimation

The age estimation of bloodstains measures the time-dependent changes in the levels of bloodstain biomolecules. Although several studies have identified bloodstain metabolites as markers for estimating bloodstain age, none has consider gender and age-related metabolomic differences or long-time b...

2024-01-16 | MTBLS5208 | MetaboLights

VISAGE age tool from semen

VISAGE enhanced tool for forensic age estimation from semen.

PRJEB43859 | ENA

Methylation-based markers for the estimation of age in African Cheetah, Acinonyx jubatus

Age is a key demographic in conservation biology where individual age classes show diffuse differences in terms of important population dynamics metrics such as morbidity and mortality. Furthermore, several traits including reproductive potential show clear senescence with aging. Thus, the ability t...

ORGANISM(S): Acinonyx jubatus

2024-01-14 | GSE252541 | GEO

Methylation clocks for age estimation in toothed whales and dolphins

PRJNA725202 | ENA

Illumina Infinium HumanMethylationEPIC DNA methylation microarray of human donor whole-blood from patients with and without Age-related Macular Degeneration

DNA methylation microarray analysis was performed on human donor whole blood samples from patients with and without AMD. A total of 30 patient samples including 16 Normal, 3 AREDS grade 2 (early AMD) and 11 AREDS grade 3 (intermediate AMD) (AMD total, n = 14) were selected. Samples were obtained fro...

ORGANISM(S): Homo sapiens

2021-12-31 | E-MTAB-11279 | biostudies-arrayexpress

Integration of age-at-death with novel peptide sex estimation reveals cattle culling practices at Yorkshire Iron Age shrine site

Cattle aDNA sex assignment to verify adapted low-cost palaeoproteomic amelogenin sex estimation methods

PRJEB109947 | ENA

DNA methylation clocks as a predictor for ageing and age estimation in naked mole-rats, Heterocephalus glaber

PRJNA573950 | ENA

Piper

Phylogenomics and age estimation of Sri Lankan Piper

PRJNA1148383 | ENA

Sex estimation of human remains using the results of tooth enamel peptidomic analyses, LC-MSMS

Sex of individuals, estimated on human remains, is important information in anthropological, archaeological and forensic researches. In forensic anthropology, this is one of the key points for identifying a person. In archeology and paleoanthropology, information about sex is important for reconstru...

ORGANISM(S): Homo sapiens (Human)

2020-06-24 | PXD017965 | Pride

The influence of cancer on a forensic age estimation tool.

Not available

S-EPMC12339023 | biostudies-literature

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