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

Factors Affecting Protein-Drug Binding: Drug-Related Factors01:18

Factors Affecting Protein-Drug Binding: Drug-Related Factors

485
Drug binding to proteins is a complex phenomenon influenced by various drug-related factors, each playing a significant role in the interaction between drugs and proteins within the body.
One crucial factor in drug-protein binding is the drug's lipophilicity or its affinity for fat. More lipophilic drugs tend to have higher binding extents. For example, highly lipophilic drugs like cloxacillin exhibit substantial protein binding, with as much as 95% of the drug binding to proteins. In...
485
Factors Affecting Protein-Drug Binding: Patient-Related Factors01:29

Factors Affecting Protein-Drug Binding: Patient-Related Factors

325
Protein-drug binding, a pivotal aspect of pharmacokinetics, is subject to considerable variability influenced by an array of patient-related factors. The intricate interplay of age, individual differences, and pathological conditions significantly impact the binding dynamics and subsequent pharmacological effects.
Age stands as a key determinant in protein-drug binding. Neonates, characterized by low albumin content, experience heightened concentrations of unbound drugs such as phenytoin and...
325
Factors Affecting Protein-Drug Binding: Protein-Related Factors01:20

Factors Affecting Protein-Drug Binding: Protein-Related Factors

559
Drug binding to proteins is a key aspect of pharmacokinetics and can influence a drug's distribution, absorption, and elimination in the body. Several factors, including the drug's physiochemical properties, protein concentration, disease states, and the number of binding sites on the protein, influence this process.
The physicochemical properties of a drug play a significant role in its ability to bind to proteins. Lipophilic drugs, which dissolve in fats, oils, and lipids, can be...
559
Transcription Factors02:16

Transcription Factors

82.7K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
82.7K
Factors Affecting Drug Response: Overview01:21

Factors Affecting Drug Response: Overview

3.1K
When it comes to infants and young children, they are typically administered smaller doses of medication in comparison to adults. This is primarily because their organ functions still need to fully develop, meaning their bodies are not as efficient at metabolizing or eliminating drugs. Additionally, their blood-brain barrier is more permeable than in adults. As a result, high concentrations of drugs can easily penetrate the central nervous system (CNS), potentially leading to neurological...
3.1K
Single-Strand DNA Binding Proteins01:03

Single-Strand DNA Binding Proteins

16.7K
For successful DNA replication, the unwinding of double-stranded DNA must be accompanied by stabilization and protection of the separated single strands of the DNA. This crucial task is performed by single-strand DNA-binding (SSB) proteins. They bind to the DNA in a sequence-independent manner, which means that the nitrogenous bases of the DNA need not be present in a specific order for binding of SSB proteins to it. The binding of SSB proteins straightens single-stranded DNA (ssDNA) and makes...
16.7K

You might also read

Related Articles

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

Sort by
Same author

ARF19 acts as a transient auxin response enhancer during root gravitropism.

Cell reports·2026
Same author

Microenvironmental acidosis drives PARP- and ATM inhibitor resistance in p53 deficient pancreatic cancer.

iScience·2026
Same author

Spiral phyllotaxis in the moss Physcomitrium patens emerges from simple division rules of the apical cell.

Current biology : CB·2026
Same author

Recruitment of bifunctional regulator thermospermine to methylated ribosomes directs xylem fate.

Science (New York, N.Y.)·2026
Same author

JASPAR 2026: expansion of transcription factor binding profiles and integration of deep learning models.

Nucleic acids research·2025
Same author

MONOPTEROS isoform MP11ir plays a role during somatic embryogenesis in Arabidopsis thaliana.

Plant physiology·2025

Related Experiment Video

Updated: Feb 3, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
08:40

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

9.1K

Capturing Auxin Response Factors Syntax Using DNA Binding Models.

Arnaud Stigliani1, Raquel Martin-Arevalillo2, Jérémy Lucas1

  • 1Univ. Grenoble Alpes, CNRS, CEA, INRA, BIG-LPCV, 38000 Grenoble, France.

Molecular Plant
|October 19, 2018
PubMed
Summary

Position weight matrices reveal distinct DNA binding preferences for auxin response factors (ARFs), explaining differences in plant gene regulation. This advances understanding of auxin hormone action and gene control.

Keywords:
AuxinAuxin Response FactorDAP-seqDNA binding model

More Related Videos

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
06:38

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy

Published on: February 7, 2019

9.2K
Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
11:25

Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences

Published on: February 11, 2019

8.5K

Related Experiment Videos

Last Updated: Feb 3, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues
08:40

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

9.1K
High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
06:38

High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy

Published on: February 7, 2019

9.2K
Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
11:25

Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences

Published on: February 11, 2019

8.5K

Area of Science:

  • Plant Molecular Biology
  • Genomics
  • Biochemistry

Background:

  • Auxin is a crucial plant hormone regulating gene expression via auxin response factors (ARFs).
  • ARFs bind similar DNA sequences, yet exhibit distinct genomic targets and regulate different genes.
  • Understanding ARF DNA binding specificity is key to deciphering auxin-mediated gene regulation.

Purpose of the Study:

  • To model Auxin Response Factor (ARF) DNA binding specificity using position weight matrices (PWMs).
  • To investigate differences in genome-wide binding between ARF2 and ARF5/Monopteros (MP).
  • To identify specific ARF binding site (ARFbs) configurations regulating auxin-responsive genes.

Main Methods:

  • Utilized published DNA affinity purification sequencing (DAP-seq) data.
  • Developed and applied position weight matrices (PWMs) to model ARF DNA binding specificity.
  • Performed biochemical experiments to validate ARFbs identification and regulatory regions.

Main Results:

  • ARF2 and ARF5/MP exhibit distinct genome binding patterns due to differing ARFbs arrangements (orientation and spacing).
  • PWMs proved more effective than consensus sequences for identifying ARFbs.
  • Identified regulatory regions of the auxin-responsive gene IAA19.
  • Discovered over-represented ARFbs configurations in auxin-upregulated genes, revealing functional regulatory syntax.

Conclusions:

  • PWMs provide a versatile and powerful method for analyzing ARF DNA binding specificity.
  • Deciphered the syntax of ARF binding sites critical for auxin-induced gene regulation.
  • Established a generalizable approach for decoding gene regulation using genome-wide binding data.