Human tissue specific age-related gene expression changes, their genetic regulations and the link to human diseases
Human tissue specific age-related gene expression changes, their genetic regulations and the link to human diseases
批准号:
10319943
负责人:
Zhidong Tu
金额:
$37.07万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-12-01 至 2023-11-30
关键词:
AddressAgeAgingAnimal ModelAnimalsAtlasesAutomobile DrivingBiologicalBiological AssayBiological ModelsBiology of AgingCell modelClustered Regularly Interspaced Short Palindromic RepeatsCommunitiesDataData SetDiseaseEconomicsEngineeringEthicsEtiologyEvaluationFailureFemaleGene ExpressionGene Expression AlterationGene Expression ProfileGene Expression RegulationGenesGeneticGenetic RiskGenomicsGenotypeGenotype-Tissue Expression ProjectHumanHuman GeneticsHuman bodyInterventionLinkLongevityNamesPathway interactionsPatternPharmaceutical PreparationsPopulationPortraitsPublishingRegulationReporterResearchResearch PersonnelResourcesSample SizeSavingsSex DifferencesSpeedSystemTestingTimeTissuesTranslational ResearchUnited States National Institutes of HealthValidationVariantWorkage relatedaging geneanti agingcausal variantcomorbiditycostepigenomicsexperimental studyfunctional outcomesgenetic variantgenomic datahealthspanhealthy aginghuman datahuman diseasehuman modelhuman tissueinnovationmalenovelsextranscription factortranscriptometranscriptomics
中文摘要
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英文摘要
Project Summary
Understanding human aging requires us to perform experiments directly with human. This can be challenging
due to ethical barriers, high cost, long human lifespan and several other factors. On the other hand, a deluge of
human genomic data have emerged and some of them have outstanding potentials to be repositioned for
aging research. Leveraging existing human data for aging research provides an economically efficient, time-
saving solution to overcome the many obstacles associated with human experiments. We propose to go deep
in analyzing a very unique and unprecedented large scale human genomic dataset for aging research. This
dataset as generated from GTEx (Genotype of Tissue Expression) project represents a rare opportunity for
studying human aging gene expressions and genetics at multi-tissue level. We propose to work on four specific
aims: first, we will define human aging gene expression signatures in more than 40 tissue types. For many
tissues, this is the first time to reveal their aging gene expression change patterns. We will also investigate
disease and sex influence on these aging gene expression and find conserved aging mechanisms from model
organisms to human. Second, early studies have shown that different parts of human body age at different
rates, but it is unknown if the biological ages of different tissues are under higher order coordination. Our work
is to investigate on this topic to confirm our previous finding on the coordinated aging among tissues. We will
also test if tissue co-aging correlates with disease comorbidity. Third, we will look into the genetic regulation on
age-related gene expression in various tissues. We will test if genetic variants associated with aging gene
expression could also be associated with human longevity or age-related diseases. Fourth, we will select top
variants and experimentally validate the causal regulation on gene expression. We believe all these questions
are important for human aging research; the answers to these questions will significantly help us to better
understand human aging and help translational research.
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Integration of transcriptomes of senescent cell models with multi-tissue patient samples reveals reduced COL6A3 as an inducer of senescence.
衰老细胞模型的转录组与多组织患者样本的整合揭示了 COL6A3 作为衰老诱导剂的减少。
DOI:
10.1016/j.celrep.2023.113371
发表时间:
2023
期刊:
Cell reports
影响因子:
8.8
作者:
[Savić,Radoslav, Yang,Jialiang, Koplev,Simon, An,MahruC, Patel,PriyankaL, O'Brien,RobertN, Dubose,BrittanyN, Dodatko,Tetyana, Rogatsky,Eduard, Sukhavasi,Katyayani, Ermel,Raili, Ruusalepp,Arno, Houten,SanderM, Kovacic,JasonC, Stewart,An]
通讯作者:
Stewart,An
DOI:
10.3389/fgene.2021.680560
发表时间:
2021
期刊:
Frontiers in genetics
影响因子:
3.7
作者:
[Kim SS, Hudgins AD, Gonzalez B, Milman S, Barzilai N, Vijg J, Tu Z, Suh Y]
通讯作者:
Suh Y
DOI:
10.1111/acel.13362
发表时间:
2021-07
期刊:
Aging cell
影响因子:
7.8
作者:
[Ryu S, Han J, Norden-Krichmar TM, Zhang Q, Lee S, Zhang Z, Atzmon G, Niedernhofer LJ, Robbins PD, Barzilai N, Schork NJ, Suh Y]
通讯作者:
Suh Y
Improved Human Age Prediction by Using Gene Expression Profiles From Multiple Tissues.
通过使用多个组织的基因表达谱改进人类年龄预测。
DOI:
10.3389/fgene.2020.01025
发表时间:
2020
期刊:
Frontiers in genetics
影响因子:
3.7
作者:
[Wang F, Yang J, Lin H, Li Q, Ye Z, Lu Q, Chen L, Tu Z, Tian G]
通讯作者:
Tian G
DOI:
10.3389/fnagi.2023.1153251
发表时间:
2023
期刊:
Frontiers in aging neuroscience
影响因子:
4.8
作者:
[]
通讯作者:
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