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Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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A transcriptome-based single-cell biological age model and resource for tissue-specific aging measures.

Shulin Mao1,2, Jiayu Su2,3, Longteng Wang2,4

  • 1Yuanpei College, Peking University, Beijing 100871, China.

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Summary
This summary is machine-generated.

We developed SCALE, a new method to measure biological aging using explainable features from single-cell data. SCALE accurately quantifies aging across tissues and is reliable for aging research.

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Area of Science:

  • Biogerontology
  • Computational Biology
  • Genomics

Background:

  • Accurate biological age measurement is vital for elderly healthcare.
  • Aging biology's complexity challenges robust aging estimation and trait interpretation.
  • Existing methods lack generalizability and interpretability.

Purpose of the Study:

  • To present SCALE, a statistical pipeline for quantifying biological aging in diverse tissues.
  • To identify tissue-specific aging programs and create a multitissue resource of aging-associated genes.
  • To validate SCALE's accuracy, reliability, and generalizability against other aging biomarkers.

Main Methods:

  • Developed SCALE, a statistical pipeline utilizing explainable features from literature and single-cell transcriptomic data.
  • Applied SCALE to the "Mouse Aging Cell Atlas" (Tabula Muris Senis) dataset.
  • Compared SCALE with existing transcriptomic and methylation clocks using various aging models.

Main Results:

  • Identified tissue-level transcriptomic aging programs across over 20 murine tissues.
  • Created a multitissue resource of mouse quantitative aging-associated genes.
  • Demonstrated SCALE's correlation with somatic mutation accumulation and ability to detect subtle aging differences.
  • Showcased SCALE's superior generalizability and reliability in aging-related diseases and rejuvenation studies.

Conclusions:

  • SCALE provides an accurate, robust, and interpretable method for measuring biological aging in single cells.
  • SCALE is a valuable advancement for aging research, disease studies, and interventions.
  • The developed multitissue resource aids in understanding aging mechanisms across different tissues.