Related Experiment Video

Updated: Jan 28, 2026

Preparation and In Vitro Characterization of Magnetized miR-modified Endothelial Cells
09:58

Preparation and In Vitro Characterization of Magnetized miR-modified Endothelial Cells

Published on: May 2, 2017

8.1K

A Systematic Review of miR-29 in Cancer

Jason J Kwon1, Tricia D Factora1, Shatovisha Dey1

  • 1Department of Medical and Molecular Genetics, Indiana University School of Medicine (IUSM), Indianapolis, IN, USA.

Molecular Therapy Oncolytics
|February 22, 2019
PubMed

Insights

MicroRNAs (miRNAs) regulate gene expression and are crucial in cancer. This review examines miR-29

Area of Science:

  • Molecular Biology
  • Genetics
  • Oncology

Background:

  • MicroRNAs (miRNAs) are small non-coding RNAs regulating eukaryotic gene expression.
  • miRNA dysregulation is a hallmark of cancer pathogenesis.
  • miR-29 is implicated in numerous cancer-related processes.

Purpose of the Study:

  • To systematically review the functional roles of miR-29 in various cancer mechanisms.
  • To analyze the contradictory roles of miR-29 as both a tumor suppressor and oncogene.

Main Methods:

  • Literature review of studies on miR-29 in cancer.
  • Systematic analysis of miR-29's regulatory functions.
  • Introspection on conflicting experimental findings.

Main Results:

  • miR-29 regulates key oncogenic processes: epigenetics, proteostasis, metabolism, proliferation, apoptosis, metastasis, fibrosis, angiogenesis, and immunomodulation.
  • The majority of studies identify miR-29 as a tumor suppressor.
  • Conflicting reports suggest miR-29 may also act as an oncogene in certain contexts.

Conclusions:

  • miR-29 plays a complex and multifaceted role in cancer.
  • Understanding the dual role of miR-29 is critical for cancer therapy development.
  • Further research is needed to fully elucidate miR-29's oncogenic and tumor-suppressive functions.

More Related Videos

Author Spotlight: Demonstrating Systematic Endobronchial Ultrasound to New Endoscopists05:22

Author Spotlight: Demonstrating Systematic Endobronchial Ultrasound to New Endoscopists

Published on: August 11, 2023

2.8K
Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting04:47

Author Spotlight: Learning Systematic Bronchoscopy in a Simulation-Base Setting

Published on: June 23, 2023

3.5K

Related Concept Videos

Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.2K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.8K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.0K
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.5K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
10.9K