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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA (lncRNA)...

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Related Experiment Video

Updated: May 23, 2026

Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome
12:34

Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome

Published on: April 2, 2018

Multi-Transcriptomics Analysis Identifies NNAT as a Key Molecule Driving the Invasive Phenotype Across All Lineages

Meng Liu1, Hongyi Wang1, Jing Guo2,3

  • 1Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.

Neuro-Oncology
|May 21, 2026
PubMed
Summary

Invasive pituitary adenomas show malignant behavior, but a new study identifies the NNAT-MAPK-p38 axis as a driver of invasion. This discovery offers a potential new target for precision therapies in difficult-to-treat pituitary tumors.

Keywords:
Invasive pituitary adenomasMulti-transcriptomicsNNATNeuronatin

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Last Updated: May 23, 2026

Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome
12:34

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Published on: April 2, 2018

Transfer of Manipulated Tumor-associated Neutrophils into Tumor-Bearing Mice to Study their Angiogenic Potential In Vivo
08:19

Transfer of Manipulated Tumor-associated Neutrophils into Tumor-Bearing Mice to Study their Angiogenic Potential In Vivo

Published on: July 20, 2019

Area of Science:

  • Endocrinology
  • Oncology
  • Molecular Biology

Background:

  • Invasive pituitary adenomas display aggressive, malignant-like behavior, posing significant clinical challenges.
  • Current treatments are limited by a lack of targeted therapies, surgical difficulties, and high recurrence rates.

Purpose of the Study:

  • To elucidate molecular mechanisms driving pituitary adenoma invasion.
  • To identify novel therapeutic targets for invasive pituitary adenomas.

Main Methods:

  • Utilized multi-transcriptomic and single-cell transcriptome analyses on 216 pituitary adenoma datasets.
  • Applied Scissor algorithm and weighted gene co-expression network analysis to identify invasion-associated subpopulations and gene networks.
  • Validated findings through in vitro and in vivo experiments.

Main Results:

  • Characterized the transcriptomic landscape and RNA interactions in invasive pituitary adenomas.
  • Confirmed invasion-associated cell subpopulations at the single-cell level.
  • Identified the NNAT-MAPK-p38 signaling axis promoting epithelial-mesenchymal transition and driving tumor invasion.

Conclusions:

  • The NNAT-MAPK-p38 axis is a key driver of pituitary adenoma invasiveness.
  • NNAT emerges as a promising candidate for targeted therapy development.
  • These findings may lead to precision treatment strategies for resistant or recurrent pituitary adenomas.