Open Notebook

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, December 28, 2020

aging and COVID19 reading list

List provided by Dr. J Choy. 

papers that look at methylation changes as a function of age - this might be a good place to start to see if any genes related to the SARS infection are methylated in old cells or vice versa?

https://www.nature.com/articles/s41586-020-03065-y
https://www.nature.com/articles/s41467-019-12293-4
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0067378
https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1824-y
https://link.springer.com/article/10.1186/gb-2013-14-10-r115
https://www.sciencedirect.com/science/article/pii/S0163725818301980#bb0155

genome-wide screen for host factors required for SARS2 replication
https://www.cell.com/cell/fulltext/S0092-8674(20)31394-5
https://www.cell.com/cell/fulltext/S0092-8674(20)31676-7
https://www.cell.com/cell/fulltext/S0092-8674(20)31626-3#supplementaryMaterial
https://www.cell.com/cell-host-microbe/fulltext/S1931-3128(20)30671-5#%20
https://www.cell.com/cell/fulltext/S0092-8674(20)31392-1#supplementaryMaterial


Transcriptome
https://www.cell.com/iscience/fulltext/S2589-0042(20)31144-5
Posted by Hong Qin at 9:43 PM
Email ThisBlogThis!Share to XShare to FacebookShare to Pinterest
Labels: ***, aging, covid19, ideas, todo

No comments:

Post a Comment

Newer Post Older Post Home
Subscribe to: Post Comments (Atom)

Blog Archive

  • ►  2025 (81)
    • ►  June (1)
    • ►  May (15)
    • ►  April (10)
    • ►  March (22)
    • ►  February (13)
    • ►  January (20)
  • ►  2024 (214)
    • ►  December (23)
    • ►  November (10)
    • ►  October (22)
    • ►  September (28)
    • ►  August (21)
    • ►  July (53)
    • ►  June (22)
    • ►  May (14)
    • ►  April (2)
    • ►  March (4)
    • ►  February (3)
    • ►  January (12)
  • ►  2023 (131)
    • ►  December (8)
    • ►  November (12)
    • ►  October (20)
    • ►  September (16)
    • ►  August (9)
    • ►  July (4)
    • ►  June (10)
    • ►  May (11)
    • ►  April (8)
    • ►  March (5)
    • ►  February (12)
    • ►  January (16)
  • ►  2022 (282)
    • ►  December (9)
    • ►  November (19)
    • ►  October (16)
    • ►  September (18)
    • ►  August (26)
    • ►  July (23)
    • ►  June (17)
    • ►  May (8)
    • ►  April (30)
    • ►  March (55)
    • ►  February (30)
    • ►  January (31)
  • ►  2021 (475)
    • ►  December (15)
    • ►  November (51)
    • ►  October (21)
    • ►  September (37)
    • ►  August (32)
    • ►  July (27)
    • ►  June (34)
    • ►  May (34)
    • ►  April (47)
    • ►  March (69)
    • ►  February (58)
    • ►  January (50)
  • ▼  2020 (359)
    • ▼  December (54)
      • science olympia
      • SARS-COV-2 entry to cell lines
      • Estimating the genome-wide contribution of selecti...
      • DNA methylation, aging, and tissue and cell types
      • Peer-led Team Learning (PLTL)
      • college board
      • ggplot themes cutomerize
      • heritability 201
      • aging and COVID19 reading list
      • USA 2020 election results by counties
      • covid19-age-stratified-ifr
      • commuting operator model of entanglement
      • MIP = RE, computer science and math in 2020
      • Laplacian matrix
      • liquid wrapping GAN
      • Blokh and Stambler, 2016, information theory for a...
      • David Sinclair's information theory of aging
      • freek book, dive into deep learning
      • cellular aging models, references
      • CDC pulse survey, anxiety
      • jianxin wang, dynamic protein network
      • Euler's formula
      • Laplace transformation to solve a differential equ...
      • Laplace transform
      • canonical correlation analysis
      • single cell seq, threshold
      • Ayalew SIR model script
      • proteostasis collapase is a driver of cell aging a...
      • journals for software publication
      • sino biolgical, List of SARS-CoV-2 Spike Mutants
      • biological clocks, Forger,
      • Dynamo: Mapping Vector Field of Single Cells
      • linear dynamic systems, laplace transform
      • advantages of temporal network, continued
      • draw a graph diagram on latex
      • PH525x series - Biomedical Data Science
      • geometric multiplicity == algebraic multiplicity-f...
      • yeast double strand breaks, γ-H2AX and γ-H2B
      • coding theory
      • Neuronal Dynamics
      • AI notes
      • latexdiff
      • CpG density and lifespan correlation in vertebrates
      • online biology RCN
      • relative entropy, cross entropy
      • Al-hasmi talk, conformational penalty
      • active inference Karl Friston
      • heterochromatin loss model for cellular aging
      • RTP timeline 2020-2021 UTC
      • rDNA stability versus rDNA circle
      • A positive role for yeast extrachromosomal rDNA ci...
      • covid19 misinformation tracker
      • Moreno 2019, elife, Proteostasis collapse, a hallm...
      • Crane 2019 elife mitotic catastrophic in replicati...
    • ►  November (55)
    • ►  October (34)
    • ►  September (40)
    • ►  August (11)
    • ►  July (33)
    • ►  June (34)
    • ►  May (23)
    • ►  April (46)
    • ►  March (13)
    • ►  February (10)
    • ►  January (6)
  • ►  2019 (168)
    • ►  December (13)
    • ►  November (19)
    • ►  October (9)
    • ►  September (13)
    • ►  August (29)
    • ►  July (9)
    • ►  June (5)
    • ►  May (10)
    • ►  April (3)
    • ►  March (11)
    • ►  February (17)
    • ►  January (30)
  • ►  2018 (184)
    • ►  December (15)
    • ►  November (15)
    • ►  October (13)
    • ►  September (13)
    • ►  August (25)
    • ►  July (14)
    • ►  June (22)
    • ►  May (17)
    • ►  April (8)
    • ►  March (12)
    • ►  February (12)
    • ►  January (18)
  • ►  2017 (340)
    • ►  December (10)
    • ►  November (55)
    • ►  October (24)
    • ►  September (17)
    • ►  August (20)
    • ►  July (26)
    • ►  June (32)
    • ►  May (33)
    • ►  April (17)
    • ►  March (22)
    • ►  February (28)
    • ►  January (56)
  • ►  2016 (299)
    • ►  December (17)
    • ►  November (41)
    • ►  October (15)
    • ►  September (18)
    • ►  August (22)
    • ►  July (42)
    • ►  June (19)
    • ►  May (22)
    • ►  April (33)
    • ►  March (17)
    • ►  February (10)
    • ►  January (43)
  • ►  2015 (396)
    • ►  December (45)
    • ►  November (20)
    • ►  October (35)
    • ►  September (53)
    • ►  August (47)
    • ►  July (17)
    • ►  June (24)
    • ►  May (3)
    • ►  April (21)
    • ►  March (23)
    • ►  February (32)
    • ►  January (76)
  • ►  2014 (559)
    • ►  December (62)
    • ►  November (34)
    • ►  October (29)
    • ►  September (55)
    • ►  August (50)
    • ►  July (71)
    • ►  June (31)
    • ►  May (26)
    • ►  April (44)
    • ►  March (56)
    • ►  February (59)
    • ►  January (42)
  • ►  2013 (327)
    • ►  December (40)
    • ►  November (22)
    • ►  October (39)
    • ►  September (8)
    • ►  August (30)
    • ►  July (29)
    • ►  June (51)
    • ►  May (28)
    • ►  April (14)
    • ►  March (18)
    • ►  February (23)
    • ►  January (25)
  • ►  2012 (24)
    • ►  December (9)
    • ►  November (3)
    • ►  October (2)
    • ►  September (1)
    • ►  August (1)
    • ►  June (2)
    • ►  April (2)
    • ►  March (2)
    • ►  February (1)
    • ►  January (1)
  • ►  2011 (2)
    • ►  September (1)
    • ►  February (1)
  • ►  2008 (1)
    • ►  October (1)
  • ►  2007 (1)
    • ►  September (1)
  • ►  2006 (1)
    • ►  May (1)
  • ►  2004 (1)
    • ►  September (1)

Links

  • Physical modeling for living systems

Popular Posts

  • ICDM 2025 DC
  • How to automatically forward emails to other accounts in Lotus Notes
  • Beyond Attention: Toward Machines with Intrinsic Higher Mental States
  • mac, convert pdf to docx in commandline
  • Georgia Tech Campus map
  • the softmax function is closely related to the Boltzmann distribution
  • skin humidity refereces
  • CODEML sample control file
  • logit, sigmoid function, and probability
  • USDA Rural-Urban Commuting Area Codes
Simple theme. Powered by Blogger.