Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

10.2K
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...
10.2K
Tumor Progression02:07

Tumor Progression

8.0K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
8.0K
Tumor Progression02:07

Tumor Progression

3.6K
3.6K
The Nucleolus02:55

The Nucleolus

10.8K
The nucleolus is the most prominent substructure of the nucleus. When it was first discovered, it was considered to be an isolated organelle that forms fibrils and granules. In 1931, the relationship between the nucleolus and chromosomes was first described by Heitz. He observed that the appearance and size of nucleolus varies depending on the stage of the cell cycle. He also noticed constricted regions on different chromosomes clustered together at definite cell cycle stages. These regions,...
10.8K
mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

5.1K
The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...
5.1K
The Retinoblastoma Gene01:20

The Retinoblastoma Gene

5.0K
Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
The first-ever tumor suppressor gene called Rb was identified in retinoblastoma - a rare eye tumor in children. In inherited forms of the disease, a child inherits one defective copy of the Rb gene, which predisposes them to retinoblastoma. However,...
5.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multifaceted Integrated Analysis of CDK1 and TOP2A Signaling Pathways for Multi-Target Therapeutic Intervention in Epithelial Ovarian Cancer.

International journal of molecular sciences·2026
Same author

Novel approaches to modulate CAR-T cell function by targeting the tumor microenvironment in ovarian cancer.

Journal of ovarian research·2026
Same author

Deciphering immune and cellular reprogramming during the progression from inflammatory bowel disease to colorectal cancer using multi-omics single-cell and spatial transcriptomics.

Journal of translational medicine·2026
Same author

Preoperative differentiation of borderline and malignant ovarian tumors using interpretable machine learning.

Journal of ovarian research·2026
Same author

HPV-Driven Immune Evasion in Cervical Cancer: Transcriptomic Identification of Downregulated Hub Genes and Suppressed Leukocyte Migration Pathways.

International journal of molecular sciences·2025
Same author

Identification of Regulatory RNA-Binding Genes in Spermatogonial Stem Cell Reprogramming to ES-like Cells Using Machine Learning-Integrated Transcriptomic and Network Analysis.

Cells·2025

Related Experiment Video

Updated: Apr 14, 2026

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
09:45

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Published on: November 14, 2025

986

Single-Cell and Spatial Transcriptomics Reveal That TXNIP and BIRC3 Contribute to Human Prostate Tumor Progression.

Seyed Taleb Hosseini1,2, Hossein Azizi3, Thomas Skutella4

  • 1Immunogenetics Research Center, Mazandaran University of Medical Sciences, Sari 48471-91971, Iran.

Cells
|April 13, 2026
PubMed
Summary

This study maps prostate cancer at single-cell and spatial levels. It reveals how myeloid cells and specific genes like BIRC3 contribute to tumor progression and survival, offering new therapeutic targets.

Keywords:
biomarker discoveryprecision oncologyprostate cancersingle-cell RNA seqspatial transcriptomicstumor heterogeneity

More Related Videos

Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
07:42

Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis

Published on: November 26, 2015

14.0K
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.3K

Related Experiment Videos

Last Updated: Apr 14, 2026

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology
09:45

Microfluidics-based High-throughput Circulating Tumor Cell Sorting and Single-cell Sequencing Technology

Published on: November 14, 2025

986
Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
07:42

Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis

Published on: November 26, 2015

14.0K
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.3K

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Prostate cancer is a leading male malignancy with a complex tumor microenvironment.
  • Understanding gene expression in prostate cancer is crucial for developing effective therapies.

Purpose of the Study:

  • To perform an integrated multi-omics analysis of prostate cancer using single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics.
  • To characterize cellular heterogeneity and spatial gene expression patterns in prostate cancer tissues.

Main Methods:

  • Analysis of scRNA-seq data from 15 prostate samples (8 normal, 7 tumor).
  • Spatial transcriptomic profiling of three FFPE prostate tissue sections using the 10x Genomics Visium FFPE platform.
  • Integrated analysis to reveal cellular and spatial molecular features.

Main Results:

  • Single-cell analysis identified heterogeneity in epithelial, stromal, and immune cells, with myeloid cells potentially promoting tumor progression via immune suppression.
  • Spatial transcriptomics revealed region-specific gene expression and tumor niches, highlighting TXNIP and BIRC3 in metabolic stress and survival pathways.
  • Spatial colocalization of BIRC3 with tumor vasculature in invasive adenocarcinoma suggests a novel interaction.

Conclusions:

  • Integrated single-cell and spatial transcriptomics provide a high-resolution molecular map of prostate cancer.
  • Discoveries highlight the role of specific genes and cell types in tumor progression and spatial organization.
  • Findings offer potential new avenues for therapeutic investigation in prostate cancer.