Dataset of differential gene expression between total normal human thyroid and histologically normal thyroid adjacent to papillary thyroid carcinoma

Vitale, Lorenza; Piovesan, Allison; Antonaros, Francesca; Strippoli, Pierluigi; Pelleri, Maria Chiara; Caracausi, Maria

doi:10.1016/j.dib.2019.103835

Cited by 2 publications

(2 citation statements)

References 17 publications

(31 reference statements)

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“…Histatins may be overexpressed in several cancer cell types and may modulate effects of EMT factors in some cancer cell types [9][10][11][12]. Moreover, a number of antimicrobial peptides genes (HTN1, HTN3, STATH, MUC7), with similar chromosomal localization (chr 4; 4q13.3) are seen to be significantly overexpressed in the peri-tumor area in papillary thyroid cancer samples, suggesting some potential interaction of these AMPs with cancerous lesions [26]. Hst5 also has sequence homology with CCL28 a chemokine with antimicrobial activity that has been tested as an adjuvant for HIV1 vaccine development and is upregulated in multiple cancers [27].…”

Section: Discussionmentioning

confidence: 99%

Histatin‐1 is an endogenous ligand of the sigma‐2 receptor

et al. 2021

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The Sigma-2 receptor (S2R) (a.k.a TMEM97) is an important endoplasmic reticular protein involved in cancer, cholesterol processing, cell migration, and neurodegenerative diseases, including Niemann-Pick Type C. While several S2R pharmacologic agents have been discovered, its recent (2017) cloning has limited biological investigation, and no endogenous ligands of the S2R are known. Histatins are a family of endogenous antimicrobial peptides that have numerous important effects in multiple biological systems, including antifungal, antibacterial, cancer pathogenesis, immunomodulation, and wound healing. Histatin-1 (Hst1) has important roles in epithelial wound healing and cell migration, and is the primary wound healing agent in saliva. Little is understood about the downstream machinery that underpins the effects of histatins, and no mammalian receptor is known to date. In this study, we show, using biophysical methods and functional assays, that Hst1 is an endogenous ligand for S2R and that S2R is a mammalian receptor for Hst1.

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Section: Discussionmentioning

confidence: 99%

Histatin‐1 is an endogenous ligand of the sigma‐2 receptor

et al. 2021

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“…High-throughput sequencing technologies and advancements in bioinformatics have enabled researchers to comprehensively analyze gene expression pro les in the thyroid gland at an unprecedented level of detail. 3 Several studies have successfully identi ed differentially expressed genes associated with speci c thyroid disorders, providing valuable insights into the molecular pathways underlying these conditions. 4 However, despite these advancements, there is still much to be explored in the comparative analysis of the thyroid transcriptome.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Bioinformatics Approaches to Conduct Comparative Analysis of the Thyroid Transcriptome in Thyroid Disorders

Andrade,

de Oliveira,

Bittencourt

et al. 2023

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Introduction: This study aims to identify common gene expression patterns and dysregulated pathways in various thyroid disorders by leveraging publicly available transcriptomic datasets. The integration of other omics data, when possible, will allow us to uncover potential molecular drivers and biomarkers associated with specific thyroid dysfunctions. However, there are still gaps in the analysis of the transcriptomes of the various thyroid disorders. Objective: To conduct a comparative analysis of the thyroid transcriptome in thyroid disorders using bioinformatics approaches. Methods: We retrieved publicly available gene expression datasets related to the thyroid from European Nucleotide Archive. Data preprocessing involved conducting quality control, trimming reads, and aligning them to a reference genome. Differential expression analysis was performed using bioinformatics packages, and functional enrichment analysis was conducted to gain insights into biological processes. Network analysis was conducted to explore interactions and regulatory relationships among differentially expressed genes (DEGs). Results: Our analysis included a total of 18 gene expression datasets, of which 15 were selected based on inclusion criteria and quality assessment. A large number of DEGs were identified (p < 0.01), and these genes were ranked according to their significance. Functional enrichment analysis revealed numerous biological processes associated with the DEGs, providing insights into the molecular mechanisms of thyroid disorders. Network analysis using Cytoscape software revealed potential interactions among DEGs and identified key hub genes and potential therapeutic targets. Conclusion: This study demonstrates an accessible methodology for conducting a comparative analysis of the thyroid transcriptome in different disorders without the need for thyroid tissue samples. The integration of bioinformatics approaches provides a comprehensive understanding of the molecular mechanisms underlying thyroid diseases.

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Dataset of differential gene expression between total normal human thyroid and histologically normal thyroid adjacent to papillary thyroid carcinoma

Cited by 2 publications

References 17 publications

Histatin‐1 is an endogenous ligand of the sigma‐2 receptor

Histatin‐1 is an endogenous ligand of the sigma‐2 receptor

Utilizing Bioinformatics Approaches to Conduct Comparative Analysis of the Thyroid Transcriptome in Thyroid Disorders

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