Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters











Database
Language
Publication year range
1.
ACS Chem Biol ; 16(11): 2193-2201, 2021 11 19.
Article in English | MEDLINE | ID: mdl-34592816

ABSTRACT

Following DNA replication, equal amounts of chromatin proteins are distributed over sister chromatids by re-deposition of parental chromatin proteins and deposition of newly synthesized chromatin proteins. Molecular mechanisms balancing the allocation of new and old chromatin proteins remain largely unknown. Here, we studied the genome-wide distribution of new chromatin proteins relative to parental DNA template strands and replication initiation zones using the double-click-seq. Under control conditions, new chromatin proteins were preferentially found on DNA replicated by the lagging strand machinery. Strikingly, replication stress induced by hydroxyurea or curaxin treatment and inhibition of ataxia telangiectasia and Rad3-related protein (ATR) or p53 inactivation inverted the observed chromatin protein deposition bias to the strand replicated by the leading strand polymerase in line with previously reported effects on replication protein A occupancy. We propose that asymmetric deposition of newly synthesized chromatin proteins onto sister chromatids reflects differences in the processivity of leading and lagging strand synthesis.


Subject(s)
Chromatin/metabolism , DNA Replication/physiology , Hydroxyurea/pharmacology , Ataxia Telangiectasia Mutated Proteins/genetics , Ataxia Telangiectasia Mutated Proteins/metabolism , Cell Cycle Proteins/metabolism , Cell Line , Chromatin/chemistry , Gene Expression Regulation/drug effects , Humans , Stress, Physiological , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/metabolism
2.
Genome Biol ; 21(1): 31, 2020 02 07.
Article in English | MEDLINE | ID: mdl-32033589

ABSTRACT

The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands-or even millions-of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.


Subject(s)
Data Science/methods , Genomics/methods , RNA-Seq/methods , Single-Cell Analysis/methods , Animals , Humans
SELECTION OF CITATIONS
SEARCH DETAIL