Evidence map›Paper›PMID 41182608›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Chromatin Interaction Maps of Trypanosoma cruzi.

Florencia Díaz-Viraqué, Carlos Robello

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Florencia Díaz-ViraquéLaboratorio de Interacciones Hospedero-Patógeno - UBM, Institut Pasteur de Montevideo, Montevideo, Uruguay. fdiaz@pasteur.edu.uy.
Carlos RobelloLaboratorio de Interacciones Hospedero-Patógeno - UBM, Institut Pasteur de Montevideo, Montevideo, Uruguay. robello@pasteur.edu.uy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin plays essential roles in all nuclear processes, and the dynamic regulation of its accessibility is critical for orchestrating gene expression programs. Chromosome conformation capture (Hi-C) combines chromosome conformation capture (3C) techniques with next-generation sequencing (NGS) to map physical interactions between distant chromatin regions, enabling genome-wide analysis of three-dimensional genome architecture. We previously conducted the first Hi-C analysis of Trypanosoma cruzi to explore its spatial genome organization and its potential role in gene expression regulation. This chapter describes the experimental procedures for preparing 3C and Hi-C libraries and computational tools for data analysis.

Indexed as

ChromatinTrypanosoma cruziChromosome MappingComputational BiologyGenome, ProtozoanHigh-Throughput Nucleotide SequencingChromatin3C3D genomeChromatinHi-C dataProtozoan parasitesTrypanosoma cruziTrypanosomes

Identifiers

What Socratic 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 Socratic graph.