ArticleBMC genomics2025
Exploring a gene co-expression network throughout the trypanosoma cruzi life cycle.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundTrypanosoma cruzi, the causative agent of American trypanosomiasis (Chagas disease), is a protozoan parasite with a complex life involving multiple developmental stages in both its triatomine vector and mammalian host. Each stage is characterized by distinct morphological and functional traits. Intriguingly, T. cruzi exhibits polycistronic transcription, relying predominantly on post-transcriptional mechanisms for gene regulation.
methodsTo delve deeper into the molecular aspects of this regulation, we performed gene co-expression network (GCN) analysis using transcriptomic data spanning all life-cycle stages of T. cruzi, offering insights into the coordinated expression patterns of functionally Linked gene groups. We examined the global network properties, identifying overrepresented functional pathways and highly connected hub genes. Additionally, we explored potential regulatory mechanisms within each module, focusing on conserved motifs in the 3' untranslated regions (3'UTRs) of co-expressed genes.
resultsOur approach led to the identification of thirteen distinct co-expressed gene modules, each enriched in specific biological processes, including metabolism, pathogenesis, chromatin regulation, cytoskeleton modulation, and cellular movement. Finally, our study highlighted hub genes within each module. Combining a guilt-by-association approach with structural alignments and HMM-HMM profile comparisons, we assigned putative functions to previously uncharacterized proteins. Motif analysis of 3'UTR sequences in co-expressed genes revealed conserved elements and potential regulatory protein factors.
conclusionsGCN analysis is a powerful tool for studying gene expression regulation. Our findings provide new insights into the regulatory networks of T. cruzi, identifying key genes and mechanisms underlying coordinated gene expression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.