Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Feedback Inhibition

Feedback Inhibition

Biochemical reactions are occurring constantly in cells, converting starting substances to different products, usually with the help of enzymes that speed the reactions. Without enzymes, it would take far too long for most reactions to occur to be useful to the cell!

Feedback Loops

Feedback Loops

In most cases, excessive hormone production is prevented by negative feedback—a loop that starts with a stimulus inducing the release of a particular substance, like a hormone, to maintain a certain level before triggering a signal that results in a decrease in further release of the hormone.

Internal Receptors

Internal Receptors

Many cellular signals are hydrophilic and therefore cannot pass through the plasma membrane. However, small or hydrophobic signaling molecules can cross the hydrophobic core of the plasma membrane and bind to internal, or intracellular, receptors that reside within the cell. Many mammalian steroid hormones use this mechanism of cell signaling, as does nitric oxide (NO) gas.

Allergic Reactions

Allergic Reactions

Proofreading

Proofreading

Proofreading

Proofreading

Synthesis of new DNA molecules is carried out by the enzyme DNA polymerase, which adds nucleotides on the daughter strand complementary to the template DNA strand. DNA polymerase has a higher affinity to add the correct base and ensures fidelity during DNA replication. Furthermore, it exhibits proofreading activity during replication, using an exonuclease domain that cuts off incorrect nucleotides from the nascent DNA strand.
Errors During Replication are Corrected by the DNA Polymerase...

You might also read

Related Articles

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

Sort by

Same author

Efficacy and Safety of Capivasertib (AZD5363), a Potent, Oral Pan-AKT Inhibitor, in Patients with Relapsed or Refractory B-cell Non-Hodgkin Lymphoma (CAPITAL).

Clinical cancer research : an official journal of the American Association for Cancer Research·2025

Same author

Preclinical study and parallel phase II trial evaluating antisense STAT3 oligonucleotide and checkpoint blockade for advanced pancreatic, non-small cell lung cancer and mismatch repair-deficient colorectal cancer.

BMJ oncology·2025

Same author

Botensilimab (Fc-enhanced anti-cytotoxic lymphocyte-association protein-4 antibody) Plus Balstilimab (anti-PD-1 antibody) in Patients With Relapsed/Refractory Metastatic Sarcomas.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2025

Same author

A phase 2 basket study of talabostat, a small-molecule inhibitor of dipeptidyl peptidases, administered in combination with pembrolizumab in patients with advanced solid cancers.

Cancer·2025

Same author

Phase I Trial of TTI-101, a First-in-Class Oral Inhibitor of STAT3, in Patients with Advanced Solid Tumors.

Clinical cancer research : an official journal of the American Association for Cancer Research·2025

Same author

Synergistic Cytotoxicity of Histone Deacetylase and Poly-ADP Ribose Polymerase Inhibitors and Decitabine in Breast and Ovarian Cancer Cells: Implications for Novel Therapeutic Combinations.

International journal of molecular sciences·2024

Search research articles

Related Experiment Video

Updated: Feb 16, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

Authors' Reply.

Marilyn M Li¹, Michael Datto², Eric J Duncavage³

¹Interpretation of Sequence Variants in Somatic Conditions Working Group of the Clinical Practice Committee, Association for Molecular Pathology, Bethesda, Maryland; Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania.

The Journal of Molecular Diagnostics : JMD

|December 19, 2017

Summary

This summary is machine-generated.

This reply addresses a letter concerning germline variant identification in tumor genomic sequencing. It clarifies methodologies and interpretations for accurate variant classification in molecular diagnostics.

More Related Videos

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

Published on: December 22, 2012

Layers of Symbiosis - Visualizing the Termite Hindgut Microbial Community

Layers of Symbiosis - Visualizing the Termite Hindgut Microbial Community

Published on: May 28, 2007

Related Experiment Videos

Last Updated: Feb 16, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts

Published on: January 29, 2018

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

Published on: December 22, 2012

Layers of Symbiosis - Visualizing the Termite Hindgut Microbial Community

Layers of Symbiosis - Visualizing the Termite Hindgut Microbial Community

Published on: May 28, 2007

Area of Science:

Molecular Diagnostics
Genomic Sequencing
Oncology

Background:

The authors respond to a letter questioning their methods for identifying germline variants within tumor genomic sequencing data.
This discussion is crucial for the accurate interpretation of somatic and germline mutations in cancer patients.

Discussion:

The authors defend their analytical approach, emphasizing the importance of robust bioinformatics pipelines.
Distinguishing between somatic and germline alterations is critical for clinical decision-making and patient management.

Key Insights:

Accurate germline variant identification in tumor sequencing requires careful consideration of analytical methods and potential biases.
The authors provide clarifications to ensure the reliability of their findings in molecular diagnostics.

Outlook:

Continued refinement of germline variant detection algorithms is essential for advancing precision oncology.
Standardized protocols for variant classification will improve the clinical utility of tumor genomic sequencing.