There are some human single cell aging data,
This site is to serve as my note-book and to effectively communicate with my students and collaborators. Every now and then, a blog may be of interest to other researchers or teachers. Views in this blog are my own. All rights of research results and findings on this blog are reserved. See also http://youtube.com/c/hongqin @hongqin
Monday, January 6, 2025
human scRNA aging data
Friday, July 19, 2024
Modes of Bacterial Aging and Death
Modes of Bacterial Aging and Death
Abstract
Currently, ``biological aging'' is well defined in human beings and multicellular organisms, and is one of the largest risk factors for most diseases. However, in single cell organisms there has been a sequence of various definitions. My research focuses on understanding the cellular processes responsible for senescence and death in E. coli bacteria as well as identifying cellular characteristics of aging. We employed an experimental setup consisting of a microfluidic device designed to trap single-cells while continuously supplying them with nutrients, allowing us to acquire images of the trapped cells. Analysis of these images provides long-term single-cell measurements of cell-size and protein content, which are then used to uncover aging effects and determine modes of cell death. Our data acquired thus far reveal two different phenotypes of cell death: 1. Part of the cells maintain their bacterial chromosome and enter a non-dividing phase. 2. A subset of the population loses its chromosome and so all cellular functions are obstructed. Our results indicate aging in all strains, which is marked by the increase in death rate with time. In addition, by comparing wild type and an ATP synthase E. coli mutant, we found different average lifetimes prior to undergoing these transitions.
Friday, May 7, 2021
lifespan of cells and tissues
https://www.sciencefocus.com/the-human-body/what-cells-in-the-human-body-live-the-longest/#:~:text=Although%20the%20our%20bodies%20are,around%20for%20longer%20than%20others.&text=On%20average%2C%20the%20cells%20in,different%20organs%20of%20the%20body.
on average: 7-10
neutrophils, white cell: 2 days
cell in the middle eye lenses: entire lifespan of the host
brain cells: might live longer than the host
Brain cells: 200+ years?
Eye lens cells: Lifetime
Egg cells: 50 years
Heart muscle cells: 40 years
Intestinal cells (excluding lining): 15.9 years
Skeletal muscle cells: 15.1 years
Fat cells: 8 years
Hematopoietic stem cells: 5 years
Liver cells: 10-16 months
Pancreas cells: 1 year
Wednesday, December 16, 2020
Thursday, December 3, 2020
heterochromatin loss model for cellular aging
Imai and Kitano 1998 heterochromatin islands hypothesis for cellular aging
https://pubmed.ncbi.nlm.nih.gov/9789733/
The mechanism of cellular aging has been suggested to play an important role in organismic aging, but the molecular linkage between them is not still understood. The recent progress in the studies of telomere and telomerase demonstrates their substantial roles in the mechanism of cellular aging. On the other hand, these studies also raise controversial issues about the generality of the telomere hypothesis. The heterochronic, polymorphic, and probabilistic features of cellular aging should be reconsidered critically. In this review, we attempt to develop a general scheme for the driving force of cellular aging, based on our molecular and computational studies. Our molecular analyses suggest that global transcriptional repressive structures are essentially involved in cellular aging-associated transcriptional regulation. From our theoretical studies, systematic reorganization of these repressive structures are suggested to be a fundamental driving force of cellular aging. The heterochromatin island hypothesis is proposed to give a rational explanation for the three distinctive features of cellular aging. The importance of a dynamic equilibrium in heterochromatin islands is also discussed for cellular and organismic aging.
The heterochromatin loss model of aging
https://pubmed.ncbi.nlm.nih.gov/9315443/
There are significant changes in gene expression that occur with cellular senescence and organismic aging. Genes residing in compacted heterochromatin domains are typically silenced due to an altered accessibility to transcription factors. Heterochromatin domains and gene silencing are set up in early development and were initially believed to be maintained for the remainder of the lifespan. Recent data suggest that there may be a net loss of heterochromatin with advancing age in both yeast and mice. The gradual loss of heterochromatin-induced gene silencing could explain the changes in gene expression that are closely linked with aging. A general model is proposed for heterochromatin loss as a major factor in generating alterations in gene expression with age. The heterochromatin loss model is supported by several lines of evidence and suggests that a fundamental genetic mechanism underlies most of the changes in gene expression observed with senescence.
Sunday, August 4, 2019
Wednesday, May 23, 2018
NIA aging cell repository
https://www.nia.nih.gov/research/blog/2018/05/nia-aging-cell-repository-facilitating-research-aging-cells?utm_source=20180523_blog&utm_medium=email&utm_campaign=research_blog
How to obtain cell and tissue samples
Saturday, February 17, 2018
cell size and aging
Monday, November 20, 2017
cellular aging in immune systems
http://jem.rupress.org/content/early/2017/09/12/jem.20170416
"This signature is borne by memory CD8+ T cells, which exhibited an aging-related loss in binding of NF-κB and STAT factors. Thus, our study provides a unique and comprehensive approach to identifying candidate biomarkers and provides mechanistic insights into aging-associated immunodeficiency."
Wednesday, November 1, 2017
red blood cell aging
Friday, August 26, 2016
Eisenberg 2009 Nature
Tuesday, September 22, 2015
white and red blood cells
M. Al-Akhras, A new application of Gompertz function in photohemolysis: the effect of temperature on red blook cell hemolysis phtosensitized by protoporthyrin IX, Med Bio, Eng Comput. 2006, 44:703-710. Figures are plotted as percentage of dead cells ~ time, i.e., 1-viability ~ time.
http://www.haematologica.org/content/early/2015/02/09/haematol.2014.116368.abstract
http://onlinelibrary.wiley.com/doi/10.1002/ajh.23982/abstract;jsessionid=0CA8BAF2EF87DAE6D642B2B5CE13CB1B.f02t04?userIsAuthenticated=false&deniedAccessCustomisedMessage=
Late stages of hematopoiesis and B cell lymphopoiesis are regulated by α-synuclein, a key player in Parkinson's disease
http://www.sciencedirect.com/science/article/pii/S0171298514001272
Monday, June 2, 2014
Wednesday, September 25, 2013
BY diploid with the same mating factors (in progress)
Kaeberlein and Kennedy has a RLS paper using BY diploid with the same mating factor. Which paper is that?
Saturday, August 10, 2013
E coli aging !!
CFU viability is exponential, but RLS is Gompertz. When SOS is knocked out, RLS become exponential.
RLS for E coli is measured in good growth condition, and CLS for E coli is measured in depleted nutrient condition. It is possible that CLS condition overwhelm network buffering and resulted in a network with too little redundancy. On the other hand, aging was able to manifest itself during growth, because the external 'insults' are below the 'critical' point for network robustness.
Craig Skinner and Su-ju Lin, 2010 AMB review on CR
CR on E coli aging
http://precedings.nature.com/documents/2071/version/1
Wednesday, May 1, 2013
Examples of Gompertz modeling in cells
Red blood cells, photohemolysis
M. Al-Akhras, A new application of Gompertz function in photohemolysis: the effect of temperature on red blook cell hemolysis phtosensitized by protoporthyrin IX, Med Bio, Eng Comput. 2006, 44:703-710. Figures are plotted as percentage of dead cells ~ time, i.e., 1-viability ~ time.
E coli growth
Kim et al. used Gompertz function for the growth of Escherichia coli under oxidative stress induced by photoexcited TiO2.