Exploring the molecular complexity of Triatoma dimidiata sialome.

{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29288089", "kind": "science-record", "revision": 2, "content_hash": "sha256:523d8da3733624179df63643058565d62d150ac55e6fe889f30ead8c294bd61d", "created_at": "2026-11-01T15:40:30Z", "updated_at": "2026-11-01T18:49:13Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the molecular complexity of Triatoma dimidiata sialome.", "doi": "10.1016/j.jprot.2017.12.016", "pmid": "29288089", "authors": ["Paula Beatriz Santiago", "Carla Nunes de Araújo", "Sébastien Charneau", "Izabela Marques Dourado Bastos", "Teresa Cristina F Assumpção", "Rayner Myr Lauterjung Queiroz", "Yanna Reis Praça", "Thuany de Moura Cordeiro", "Carlos Henrique Saraiva Garcia", "Ionizete Garcia da Silva", "Tainá Raiol", "Flávia Nader Motta", "João Victor de Araújo Oliveira", "Marcelo Valle de Sousa", "José Marcos C Ribeiro", "Jaime Martins de Santana"], "journal": "Journal of proteomics", "year": 2018, "abstract": "Triatoma dimidiata, a Chagas disease vector widely distributed along Central America, has great capability for domestic adaptation as the majority of specimens caught inside human dwellings or in peridomestic areas fed human blood. Exploring the salivary compounds that overcome host haemostatic and immune responses is of great scientific interest. Here, we provide a deeper insight into its salivary gland molecules. We used high-throughput RNA sequencing to examine in depth the T. dimidiata salivary gland transcriptome. From >51 million reads assembled, 92.21% are related to putative secreted proteins. Lipocalin is the most abundant gene family, confirming it is an expanded family in Triatoma genus salivary repertoire. Other putatively secreted members include phosphatases, odorant binding protein, hemolysin, proteases, protease inhibitors, antigen-5 and antimicrobial peptides. This work expands the previous set of functionally annotated sequences from T. dimidiata salivary glands available in NCBI from 388 to 3815. Additionally, we complemented the salivary analysis through proteomics (available data via ProteomeXchange with identifier PXD008510), disclosing the set complexity of 119 secreted proteins and validating the transcriptomic results. Our large-scale approach enriches the pharmacologically active molecules database and improves our knowledge about the complexity of salivary compounds from haematophagous vectors and their biological interactions.\nSIGNIFICANCE: Several haematophagous triatomine species can transmit Trypanosoma cruzi, the etiological agent of Chagas disease. Due to the reemergence of this disease, new drugs for its prevention and treatment are considered priorities. For this reason, the knowledge of vector saliva emerges as relevant biological finding, contributing to the design of different strategies for vector control and disease transmission. Here we report the transcriptomic and proteomic compositions of the salivary glands (sialome) of the reduviid bug Triatoma dimidiata, a relevant Chagas disease vector in Central America. Our results are robust and disclosed unprecedented insights into the notable diversity of its salivary glands content, revealing relevant anti-haemostatic salivary gene families. Our work expands almost ten times the previous set of functionally annotated sequences from T. dimidiata salivary glands available in NCBI. Moreover, using an integrated transcriptomic and proteomic approach, we showed a correlation pattern of transcription and translation processes for the main gene families found, an important contribution to the research of triatomine sialomes. Furthermore, data generated here reinforces the secreted proteins encountered can greatly contribute for haematophagic habit, Trypanosoma cruzi transmission and development of therapeutic agent studies.", "claims": [{"id": "claim-target-result", "statement": "The paper’s headline is that large-scale RNA-seq and complementary proteomics expanded the T. dimidiata salivary repertoire and validated the transcriptomic profile, with transcript/protein abundance showing an overall positive correlation (r = 0.64) and source data available through SRA accession SRP065810 under bioproject PRJNA300554 and ProteomeXchange dataset PXD008510.", "kind": "quantitative", "target": {"value": 92.21, "unit": "per cent", "tolerance": null, "source": "From more than 51 million reads assembled, 92.21% are related to putative secreted proteins."}, "evidence": [{"asset": "source:pmid:29288089", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "From more than 51 million reads assembled, 92.21% are related to putative secreted proteins."}, {"asset": "source:pmid:29288089", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "This work expands the previous set of functionally annotated sequences from T. dimidiata salivary glands available in NCBI from 388 to 3,815."}, {"asset": "source:pmid:29288089", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Additionally, we complemented the salivary analysis through proteomics (available data via ProteomeXchange with identifier PXD008510), disclosing the set complexity of 119 secreted proteins and validating the transcriptomic results."}, {"asset": "source:pmid:29288089", "locator": "sections[29] \"3.4 The proteome analysis from T. dimidiata saliva reveals a positive correlation with the sialotranscriptome\" paragraph 3", "quote": "To address an integrated analysis of transcriptomic and proteomic data, we investigated the correlation among reads and protein abundance. The result reveals there is a positive correlation, r = 0.64, among the abundance of SGs reads from secretory nature and the PSM’s from salivary proteins identified in the proteomic analysis (Fig. 11)."}, {"asset": "source:pmid:29288089", "locator": "sections[6] \"2.4 Data access\" paragraph 2", "quote": "The raw reads were deposited in the Sequence Read Archive (SRA) of NCBI, identifier SRP065810, under bioproject PRJNA300554."}, {"asset": "source:pmid:29288089", "locator": "sections[8] \"2.6 Data availability\" paragraph 2", "quote": "The mass spectrometry proteomics data have been deposited to the Proteome×change Consortium [23, 24] via the PRIDE [25] partner repository with the dataset identifier PXD008510."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The paper’s headline is that large-scale RNA-seq and complementary proteomics expanded the T. dimidiata salivary repertoire and validated the transcriptomic profile, with transcript/protein abundance showing an overall positive correlation (r = 0.64) and source data available through SRA accession SRP065810 under bioproject PRJNA300554 and ProteomeXchange dataset PXD008510.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:29288089"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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