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

10.0K
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...
10.0K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

3.8K
3.8K
Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

13.6K
As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
13.6K

You might also read

Related Articles

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

Sort by
Same author

Genetic modification of the marine-derived yeast Yarrowia lipolytica with high-protein content using a GPI-anchor-fusion expression system.

Biotechnology progress·2009
Same author

Regulation of the Edwardsiella tarda hemolysin gene and luxS by EthR.

Journal of microbiology and biotechnology·2009
Same author

EBV LMP2A-specific T cell immune responses elicited by dendritic cells loaded with LMP2A protein.

Cellular & molecular immunology·2009
Same author

[Combination of volar buttress plate with external fixator for the distal radial fractures of type C3 caused by high-energy injuries].

Zhongguo gu shang = China journal of orthopaedics and traumatology·2009
Same author

Environmental regulation of floral anthocyanin synthesis in Ipomoea purpurea.

Molecular ecology·2009
Same author

PI3K integrates the effects of insulin and leptin on large-conductance Ca2+-activated K+ channels in neuropeptide Y neurons of the hypothalamic arcuate nucleus.

American journal of physiology. Endocrinology and metabolism·2009

Related Experiment Video

Updated: Mar 2, 2026

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
09:28

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis

Published on: May 12, 2019

10.9K

Long non-coding RNA UCA1 can predict tumor lymph node metastasis.

Yuan-Hang Wang1, Fang Wang1, Lan Zhang1

  • 11 GMU-GIBH Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, China.

Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine
|May 11, 2017
PubMed
Summary
This summary is machine-generated.

High expression of long non-coding RNA UCA1 is linked to increased tumor lymph node metastasis across various cancers. UCA1 shows potential as a biomarker for predicting lymph node metastasis.

Keywords:
Long non-coding RNAUCA1lymph node metastasismeta-analysis

More Related Videos

Repression of Multiple Myeloma Cell Growth In Vivo by Single-wall Carbon Nanotube SWCNT-delivered MALAT1 Antisense Oligos
07:24

Repression of Multiple Myeloma Cell Growth In Vivo by Single-wall Carbon Nanotube SWCNT-delivered MALAT1 Antisense Oligos

Published on: December 13, 2018

6.9K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

828

Related Experiment Videos

Last Updated: Mar 2, 2026

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
09:28

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis

Published on: May 12, 2019

10.9K
Repression of Multiple Myeloma Cell Growth In Vivo by Single-wall Carbon Nanotube SWCNT-delivered MALAT1 Antisense Oligos
07:24

Repression of Multiple Myeloma Cell Growth In Vivo by Single-wall Carbon Nanotube SWCNT-delivered MALAT1 Antisense Oligos

Published on: December 13, 2018

6.9K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

828

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Long non-coding RNA UCA1 is frequently overexpressed in various cancers.
  • UCA1's role in tumor progression is established, but its association with lymph node metastasis is unclear.

Purpose of the Study:

  • To systematically review and evaluate the association between UCA1 expression and tumor lymph node metastasis.
  • To explore UCA1 as a potential predictive biomarker for lymph node metastasis.

Main Methods:

  • A systematic review and meta-analysis were conducted.
  • Data from multiple studies on UCA1 expression and lymph node metastasis were pooled and analyzed.
  • A subgroup analysis focused on colorectal cancer.

Main Results:

  • UCA1 high-expression group showed significantly higher lymph node metastasis rates compared to the low-expression group (pooled OR = 2.13).
  • This association remained significant in colorectal cancer subgroup analysis (pooled OR = 2.07).

Conclusions:

  • Long non-coding RNA UCA1 is significantly associated with tumor lymph node metastasis.
  • UCA1 demonstrates potential as a valuable biomarker for predicting lymph node metastasis in cancer patients.