University of Padua

Transcriptomic profiling of GH-secreting pituitary neuroendocrine tumors for tissue deconvolution

Occhi, Gianluca and Dalle Nogare, Mattia (2025) Transcriptomic profiling of GH-secreting pituitary neuroendocrine tumors for tissue deconvolution. [Data Collection]

Collection description

Ten GH-PitNET samples were collected from acromegalic patients treated surgically. Total RNA was extracted using the Quick-DNA/RNA kit (Zymo Research), then quality-checked with Agilent Bioanalyzer and NanoDrop. Libraries were prepared using KAPA RNA HyperPrep with RiboErase (Roche) and sequenced (150 bp paired-end) on an Illumina NovaSeq X Plus. Gene-level counts presented in the table were quantified using Salmon and summarized with tximport.

DOI: 10.25430/researchdata.cab.unipd.it.00001604
Keywords: Bulk RNA-seq, Pituitary Neuroendocrine Tumor (PitNET), Deconvolution, Cellular heterogeneity
Subjects: Life Sciences > Genetics, 'Omics', Bioinformatics and Systems Biology: Molecular genetics, quantitative genetics, genetic epidemiology, epigenetics, genomics, metagenomics, glycomics, bioinformatics, computational biology, biostatistics, systems biology proteomics, metab > Bioinformatics
Life Sciences > Genetics, 'Omics', Bioinformatics and Systems Biology: Molecular genetics, quantitative genetics, genetic epidemiology, epigenetics, genomics, metagenomics, glycomics, bioinformatics, computational biology, biostatistics, systems biology proteomics, metab > Transcriptomics
Department: Departments > Dipartimento di Biologia (DiBio)
Depositing User: Mattia Dalle Nogare
Date Deposited: 25 Jul 2025 08:42
Last Modified: 25 Jul 2025 08:42
Creators/Authors:
CreatorsEmailORCID
Occhi, Gianlucagianluca.occhi@unipd.itorcid.org/0000-0003-4065-4677
Dalle Nogare, Mattiamattia.dallenogare@phd.unipd.itorcid.org/0000-0001-9419-830X
Type of data: Text
Contributors:
ContributionNameEmail
AuthorOcchi, Gianlucagianluca.occhi@unipd.it
AuthorDalle Nogare, Mattiamattia.dallenogare@phd.unipd.it
Research funder: MUR
Research project title: Epigenomic and Transcriptomic landscape of GH-secreting pituitary adenomas in a “paradoxical” background
Grant number: Prot. 2022HTYFEL
Collection period:
FromTo
1 January 201331 June 2024
Data collection method: Ten GH-secreting pituitary neuroendocrine tumor (GH-PitNET) samples were collected from acromegalic patients undergoing transsphenoidal surgery at Padova University Hospital. A portion of each tumor specimen was immediately preserved in RNAlater (Ambion), stored at 4 °C for 24 hours, and then transferred to −20 °C for long-term storage prior to RNA extraction.
Statement on legal, ethical and access issues: The study was conducted in accordance with ethical guidelines consistent with the Declaration of Helsinki and was approved by the Ethical Committee of Azienda Ospedaliera di Padova (approval no. AOP1782).
Resource language: English
Metadata language: English
Publisher: Research Data Unipd
Date: 25 July 2025
Copyright holders: The Author
URI: https://researchdata.cab.unipd.it/id/eprint/1604

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