Evidence map›Paper›PMID 41893541›Full record

ArticleToxins2026

In-Depth Multi-Assembler Venom-Gland Transcriptomics of Three Medically Important Colombian Snakes Highlights Diversity of Accessory, Low-Abundance Protein Families.

Mónica Saldarriaga-Córdoba, Claudia Clavero-León, Paola Rey-Suárez, Vitelbina Núñez-Rangel, Sebastián Estrada-Gómez

Abstract read
In one paragraph

Article in Toxins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

5 authors.

Mónica Saldarriaga-CórdobaCentro de Investigación en Recursos Naturales y Sustentabilidad (CIRENYS), Universidad Bernardo O'Higgins, Santiago 8320000, Chile.ORCID 0000-0002-4768-4919
Claudia Clavero-LeónCentro de Investigación en Recursos Naturales y Sustentabilidad (CIRENYS), Universidad Bernardo O'Higgins, Santiago 8320000, Chile.ORCID 0009-0006-4962-6065
Paola Rey-SuárezGrupo de Investigación en Toxinología, Alternativas Terapéuticas y Alimentarias, Facultad de Ciencias, Farmacéuticas y Alimentarias, Universidad de Antioquia, Medellín 50010, Colombia.
Vitelbina Núñez-RangelGrupo de Investigación en Toxinología, Alternativas Terapéuticas y Alimentarias, Facultad de Ciencias, Farmacéuticas y Alimentarias, Universidad de Antioquia, Medellín 50010, Colombia.ORCID 0000-0002-7956-900X
Sebastián Estrada-GómezCentro de Investigación en Recursos Naturales y Sustentabilidad (CIRENYS), Universidad Bernardo O'Higgins, Santiago 8320000, Chile.

Funding

Agencia Nacional de Investigación y Desarrollo (ANID) 1220921
6 · The paper itself

Abstract

Typically, most omics analysis (proteomic and transcriptomic) of snakes are focused on the dominant enzymatic proteins used for evolutionary analysis or those engaged in envenoming symptoms. This study presents a comprehensive multi-assembler transcriptomic analysis focused on the non-dominant and enzymatic or non-enzymatic putative proteins of the venom glands of three medically significant Colombian snake species. Together, these results highlight how continued improvements in modern omics workflows, coupled with extensive manual curation, enable more complete putative protein variants discovery when multiple assemblers are integrated. Here, we reconstructed the toxinomes of the viperids

Indexed as

BothropsCrotalid VenomsCrotalusReptilian ProteinsTranscriptomeAnimalsBothrops asperColombiaGene Expression ProfilingProteomicsCrotalid VenomsReptilian ProteinsBothrops aspercomparative transcriptomicCrotalus durissus cumanensisde novo assemblyMicrurus mipartitustranscript diversitytranscriptomic analysis

Identifiers

PMID41893541
PMCPMC13030222

What OpenQuestion holds

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Registered trials

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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.