Dataset Information

Evolutionary coupling range varies widely among enzymes depending on selection pressure.

ABSTRACT: Recent studies proposed that enzyme-active sites induce evolutionary constraints at long distances. The physical origin of such long-range evolutionary coupling is unknown. Here, I use a recent biophysical model of evolution to study the relationship between physical and evolutionary couplings on a diverse data set of monomeric enzymes. I show that evolutionary coupling is not universally long-range. Rather, range varies widely among enzymes, from 2 to 20 Å. Furthermore, the evolutionary coupling range of an enzyme does not inform on the underlying physical coupling, which is short range for all enzymes. Rather, evolutionary coupling range is determined by functional selection pressure.

SUBMITTER: Echave J

PROVIDER: S-EPMC8553639 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Evolutionary coupling range varies widely among enzymes depending on selection pressure.

Echave Julian J

Biophysical journal 20210902 20

Recent studies proposed that enzyme-active sites induce evolutionary constraints at long distances. The physical origin of such long-range evolutionary coupling is unknown. Here, I use a recent biophysical model of evolution to study the relationship between physical and evolutionary couplings on a diverse data set of monomeric enzymes. I show that evolutionary coupling is not universally long-range. Rather, range varies widely among enzymes, from 2 to 20 Å. Furthermore, the evolutionary couplin ...[more]

PMID: 34480927

Similar Datasets

Project description:Background: Hepatic knockdown of the proprotein convertase subtilisin/kexin type 9 (PCSK9) gene or the angiopoietin-like 3 (ANGPTL3) gene has been demonstrated to reduce blood low-density lipoprotein cholesterol (LDL-C) levels, and hepatic knockdown of the angiotensinogen (AGT) gene has been demonstrated to reduce blood pressure. Genome editing can productively target each of these three genes in hepatocytes in the liver, offering the possibility of durable “one-and-done” therapies for hypercholesterolemia and hypertension. However, concerns around making permanent gene sequence changes via DNA strand breaks might hinder acceptance of these therapies. Epigenome editing offers an alternative approach to gene inactivation, via silencing of gene expression by methylation of the promoter region, but the long-term durability of epigenome editing remains to be established. Objectives and Results: We assessed the ability of epigenome editing to durably reduce the expression of the human PCSK9, ANGPTL3, and AGT genes in HuH-7 hepatoma cells. Cells treated with the CRISPRoff epigenome editor and PCSK9 guide RNAs were maintained for up to 124 cell doublings and demonstrated durable knockdown of gene expression and increased CpG dinucleotide methylation in the promoter, exon 1, and intron 1 regions. In contrast, cells treated with CRISPRoff and ANGPTL3 guide RNAs experienced only transient knockdown of gene expression. Cells treated with CRISPRoff and AGT guide RNAs also experienced transient knockdown of gene expression; although initially there was increased CpG methylation throughout the early part of the gene, this methylation was geographically heterogeneous—transient in the promoter, and stable in intron 1.Conclusions: This work demonstrates precise and durable gene regulation via methylation, supporting a new therapeutic approach for protection against cardiovascular disease via knockdown of genes such as PCSK9. However, the durability of knockdown with methylation changes is not generalizable across target genes, likely limiting the therapeutic potential of epigenome editing compared to other modalities.

Dataset Information

Evolutionary coupling range varies widely among enzymes depending on selection pressure.

Publications

Evolutionary coupling range varies widely among enzymes depending on selection pressure.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets