Evidence map›Paper›PMID 36892769›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Thermogenomic Analysis of Left-Handed Z-DNA Propensities in Genomes.

Ryan S Czarny, P Shing Ho

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Ryan S CzarnyDepartment of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO, USA.
P Shing HoDepartment of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO, USA. Shing.Ho@ColoState.EDU.
Colorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The initial discovery of left-handed Z-DNA was met with great excitement as a dramatic alternative to the right-handed double-helical conformation of canonical B-DNA. In this chapter, we describe the workings of the program ZHUNT as a computational approach to mapping Z-DNA in genomic sequences using a rigorous thermodynamic model for the transition between the two conformations (the B-Z transition). The discussion starts with a brief summary of the structural properties that differentiate Z- from B-DNA, focusing on those properties that are particularly relevant to the B-Z transition and the junction that splices a left- to right-handed DNA duplex. We then derive the statistical mechanics (SM) analysis of the zipper model that describes the cooperative B-Z transition and show that this analysis very accurately simulates this behavior of naturally occurring sequences that are induced to undergo the B-Z transition through negative supercoiling. A description of the ZHUNT algorithm and its validation are presented, followed by how the program had been applied for genomic and phylogenomic analyses in the past and how a user can access the online version of the program. Finally, we present a new version of ZHUNT (called mZHUNT) that has been parameterized to analyze sequences that contain 5-methylcytosine bases and compare the results of the ZHUNT and mZHUNT analyses on native and methylated yeast chromosome 1.

Indexed as

DNA, B-FormDNA, Z-FormDNANucleic Acid ConformationThermodynamicsDNADNA, B-FormDNA, Z-Form5-MethylcytosineB–Z transitionStatistical mechanicsZipper model

Identifiers

PMID36892769
OpenAlexW4323653583

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.