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scRNA sequencing technology for PitNET studies.
Asaad, Walaa; Utkina, Marina; Shcherbakova, Anastasia; Popov, Sergey; Melnichenko, Galina; Mokrysheva, Natalia.
Affiliation
  • Asaad W; Department of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
  • Utkina M; Department of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
  • Shcherbakova A; Department of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
  • Popov S; Department of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
  • Melnichenko G; Department of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
  • Mokrysheva N; Department of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
Front Endocrinol (Lausanne) ; 15: 1414223, 2024.
Article in En | MEDLINE | ID: mdl-39114291
ABSTRACT
Pituitary neuroendocrine tumors (PitNETs) are common, most likely benign tumors with complex clinical characteristics related to hormone hypersecretion and/or growing sellar tumor mass. PitNET types are classified according to their expression of specific transcriptional factors (TFs) and hormone secretion levels. Some types show aggressive, invasive, and reoccurrence behavior. Current research is being conducted to understand the molecular mechanisms regulating these high-heterogeneous neoplasms originating from adenohypophysis, and single-cell RNA sequencing (scRNA-seq) technology is now playing an essential role in these studies due to its remarkable resolution at the single-cell level. This review describes recent studies on human PitNETs performed with scRNA-seq technology, highlighting the potential of this approach in revealing these tumor pathologies, behavior, and regulatory mechanisms.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pituitary Neoplasms / Neuroendocrine Tumors / Single-Cell Analysis Limits: Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pituitary Neoplasms / Neuroendocrine Tumors / Single-Cell Analysis Limits: Humans Language: En Journal: Front Endocrinol (Lausanne) Year: 2024 Document type: Article Affiliation country: Country of publication: