Dynamic GH responses functionally anchor a transcriptional state architecture in GH‑secreting pituitary neuroendocrine tumors

Name: Dynamic GH responses functionally anchor a transcriptional state architecture in GH‑secreting pituitary neuroendocrine tumors
Published: 2026
Keywords: GH-PitNETs, OGTT, acromegaly, growth hormone, transcriptome, RNAseq, Bioinformatics, Transcriptomics

Dalle Nogare, Mattia and Avallone, Serena and Chasseloup, Fanny and Picello, Luna and Puggina, Daniele and Voltan, Giacomo and Losa, Marco and Gatto, Federico and Pecori Giraldi, Francesca and Sales, Gabriele and Babin, Matthias and Kamenicky, Peter and Ceccato, Filippo and Vazza, Giovanni and Occhi, Gianluca (2026) Dynamic GH responses functionally anchor a transcriptional state architecture in GH‑secreting pituitary neuroendocrine tumors. [Data Collection]

Collection description

Tumor samples were collected at surgery and preserved in RNAlater at −20 °C until processing. Total RNA was extracted using TRIzol Reagent or the Quick-DNA/RNA Microprep kit, followed by DNase treatment. RNA quantity and integrity were assessed using NanoDrop spectrophotometry and the Agilent Bioanalyzer platform. For RNA sequences library preparation, 1–2 µg of total RNA per sample was processed using KAPA RNA HyperPrep with RiboErase following manufacturer’s instructions. Library quality was assessed by measuring RNA concentration using a Qubit® 3.0 Fluorometer and assessing insert size via an Agilent Bioanalyzer DNA assay. Sequencing was performed on Illumina NovaSeq X Plus instruments to generate 150-bp paired-end reads. Raw FASTQ files were assessed for quality using FastQC (v0.12.1), followed by trimming of low-quality reads and adapter sequences using Trimmomatic (v0.39). Transcript abundances were quantified with Salmon (v1.10.0) using a decoy-aware index based on the GRCh38 reference genome and ENSEMBL gene annotations (release 113). Gene-level counts were summarized using tximport (v1.26.0) and filtered according to expression-based criteria implemented in edgeR (v4.6.2).

DOI:

10.25430/researchdata.cab.unipd.it.00001837

Keywords:

GH-PitNETs, OGTT, acromegaly, growth hormone, transcriptome, RNAseq

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:

27 May 2026 07:14

Last Modified:

27 May 2026 07:14

Creators/Authors:

Creators	Email	ORCID
Dalle Nogare, Mattia	mattia.dallenogare@phd.unipd.it	orcid.org/0000-0001-9419-830X
Avallone, Serena	serena.avallone@phd.unipd.it	orcid.org/0009-0007-0865-0381
Chasseloup, Fanny	UNSPECIFIED	orcid.org/0000-0002-2228-9437
Picello, Luna	luna.picello@phd.unipd.it	orcid.org/0009-0000-9725-4303
Puggina, Daniele	daniele.puggina@phd.unipd.it	orcid.org/0009-0003-4855-7991
Voltan, Giacomo	giacomo.voltan@aopd.veneto.it	orcid.org/0000-0002-3628-0492
Losa, Marco	UNSPECIFIED	UNSPECIFIED
Gatto, Federico	UNSPECIFIED	orcid.org/0000-0002-5062-9208
Pecori Giraldi, Francesca	UNSPECIFIED	orcid.org/0000-0001-6065-7803
Sales, Gabriele	UNSPECIFIED	orcid.org/0000-0003-2078-5661
Babin, Matthias	UNSPECIFIED	UNSPECIFIED
Kamenicky, Peter	UNSPECIFIED	orcid.org/0000-0002-1994-4226
Ceccato, Filippo	filippo.ceccato@unipd.it	orcid.org/0000-0003-1456-8716
Vazza, Giovanni	giovanni.vazza@unipd.it	orcid.org/0000-0001-7900-9398
Occhi, Gianluca	gianluca.occhi@unipd.it	orcid.org/0000-0003-4065-4677