Jul 16, 2025

Public workspaceCUMC-TMC- Central Nervous System Tissue Selection and Criteria

DOI
https://dx.doi.org/10.17504/protocols.io.8epv5k126v1b/v1
  • Shaunice Grier1,2,3
  • 1Columbia University;
  • 2Columbia University Irving Medical Center;
  • 3TMC
  • Cellular Senescence Network (SenNet) Method Development Community
Shaunice Grier
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DOI: https://dx.doi.org/10.17504/protocols.io.8epv5k126v1b/v1
Protocol Citation: Shaunice Grier 2025. CUMC-TMC- Central Nervous System Tissue Selection and Criteria. protocols.io https://dx.doi.org/10.17504/protocols.io.8epv5k126v1b/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License,  which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: July 15, 2025
Last Modified: July 16, 2025
Protocol Integer ID: 222529
Keywords: criteria columbia university senescence tissue mapping, cellular senescence, human lifespan, adult human lifespan, tissue quality, nervous system tissue selection, age bin, lumbar spinal cord, age, regions of the central nervous system, sex for advanced downstream spatial genomic, spatial transcriptomic, dorsolateral prefrontal cortex, central nervous system, hippocampus, subject tissue, sudden death brain bank
Abstract
Columbia University Senescence Tissue Mapping (CUSTMAP) center aims to establish how cellular senescence presents across the adult human lifespan (ages 20-80+ years old). In collaboration with the New York Brain Bank at Columbia University, and the University of Edinburgh’s Sudden Death Brain Bank, we are collecting non-pathological tissue from 3 regions of the central nervous system (CNS): the dorsolateral prefrontal cortex (dlPFC), the hippocampus, and the lumbar spinal cord. Tissue quality is assessed via gross, macroscopic and histological examination. Upon successful evaluation of stringent quality control metrics, subject tissues are grouped into 3 age bins : young aged (20-40 years old), middle aged (41-60 years old), elderly aged (61-80+ years old). Quality assessed cohorts are assembled by age and sex for advanced downstream spatial genomic and proteomic processing. Age and sex balanced cohorts are leveraged and stratified across Spatial Transcriptomic, Multiomic and Proteomic workflows for integrative analysis.
Troubleshooting
Inclusion Criteria
Balanced composition of gray and white matter.
Minimal to no freeze fracture.
Clear morphology.
Presence of anatomical regions of interest.
Sufficient tissue size.
Exclusion Criteria
Apparent holes and disruption to micro tissue environment.
Insufficient tissue size.
Unclear morphology.
Tissue blocks containing multiple tissue chunks frozen together.
Anatomical regions of interest not present.