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

Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Pleiotropy01:33

Pleiotropy

Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the timing and level of...
Structure of a Gene01:30

Structure of a Gene

A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...

You might also read

Related Articles

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

Sort by
Same author

Editorial: Honoring Dr. Angelo Azzi's legacy and expanding the horizons of Molecular Aspects of Medicine.

Molecular aspects of medicine·2026
Same author

β-Adrenergic Signaling Promotes Anti-Tumor Immunity in TP53-mutant Oral Squamous Cell Carcinoma.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

MicroRNAs in oncology: a translational perspective in the era of AI.

Nature reviews. Clinical oncology·2026
Same author

Transposable Element-Derived miR-28-5p and miR-708-5p: Exploring Potential Roles in Lung Cancer.

Non-coding RNA·2025
Same author

MicroRNAs as key regulators of cancer drug resistance: insights and future directions in chemotherapy, targeted-therapy, radiotherapy, and immunotherapy.

Cancer drug resistance (Alhambra, Calif.)·2025
Same author

Deconvolution of Sparse-count RNA Sequencing Data for Tumor Cells Using Embedded Negative Binomial Distributions.

bioRxiv : the preprint server for biology·2025
Same journal

Fibrocytes drive JAK2V617F-mutated myelofibrosis: pitavastatin reverses marrow fibrosis and anemia.

Blood·2026
Same journal

Identifying steroid-refractory aGVHD before it happens.

Blood·2026
Same journal

ELISA-negative HIT: antibody recognition and relevance.

Blood·2026
Same journal

EBV and immunodeficiency: the odd couple drawn to the brain.

Blood·2026
Same journal

A bone to pick with ferric carboxymaltose.

Blood·2026
Same journal

A step toward streamlining HIT diagnosis.

Blood·2026
See all related articles

Related Experiment Video

Updated: May 20, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Small gene, big number, many effects.

George A Calin1, Marina Konopleva

  • 1The University of Texas M D Anderson Cancer Center.

Blood
|July 14, 2012
PubMed
Summary
This summary is machine-generated.

MicroRNA-3151 (miR-3151) and the brain and acute leukemia, cytoplasmic (BAALC) gene impact patient outcomes in cytogenetically normal acute myeloid leukemia (CN-AML). These factors influence key signaling pathways, affecting treatment success.

More Related Videos

Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines
10:46

Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines

Published on: June 2, 2018

Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR
13:04

Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR

Published on: March 1, 2019

Related Experiment Videos

Last Updated: May 20, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines
10:46

Dissection of Enhancer Function Using Multiplex CRISPR-based Enhancer Interference in Cell Lines

Published on: June 2, 2018

Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR
13:04

Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR

Published on: March 1, 2019

Area of Science:

  • Hematology
  • Molecular Biology
  • Oncology

Background:

  • Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy.
  • Cytogenetically normal AML (CN-AML) represents a significant subtype with variable prognoses.
  • Identifying molecular markers that predict treatment outcomes in CN-AML is crucial for personalized medicine.

Discussion:

  • This study investigates the combined role of microRNA-3151 (miR-3151) and its host gene, brain and acute leukemia, cytoplasmic (BAALC).
  • Evidence suggests these factors act in concert to influence patient outcomes in CN-AML.
  • The mechanism involves the modulation of critical cellular signaling pathways.

Key Insights:

  • miR-3151 and BAALC expression levels are associated with patient prognosis in CN-AML.
  • Concomitant dysregulation of miR-3151 and BAALC significantly impacts treatment response.
  • These molecules likely mediate their effects through specific signaling cascades relevant to leukemogenesis.

Outlook:

  • Further research into the miR-3151/BAALC axis could reveal novel therapeutic targets for CN-AML.
  • Understanding the interplay between non-coding RNAs and host genes offers new avenues for prognostic biomarker development.
  • This work contributes to a more refined understanding of the molecular landscape of CN-AML.