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

Integrator and Differentiator01:13

Integrator and Differentiator

Op-amp circuits have significant applications in various fields, including automotive engineering. One such application is cruise control systems in cars, where op-amp circuits are integral for maintaining a constant speed. In these systems, op-amps function as both integrators and differentiators.
An integrator within an op-amp circuit produces an output directly proportional to the integral of the input signal. This is achieved by replacing the feedback resistor in a typical inverting...
Basic Continuous Time Signals01:22

Basic Continuous Time Signals

Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
Signal and System01:26

Signal and System

A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...
Basic Operations on Signals01:22

Basic Operations on Signals

Basic signal operations include time reversal, time scaling, time shifting, and amplitude transformations. These operations are fundamental in signal processing and analysis.
Time Reversal mirrors a continuous-time signal about the vertical axis at t=0. This is achieved by substituting t with −t. For example, if a signal x(t) is considered, the time-reversed signal is x(−t). This operation can be graphically represented, showing the mirrored signal.
¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
Integration by Parts: Problem Solving01:29

Integration by Parts: Problem Solving

Smart speakers process voice commands by modeling audio inputs as piecewise functions and analyzing them through integration against trigonometric functions, such as cosine. This mathematical approach is fundamental in signal processing, where complex sound waves are decomposed into simpler frequency components.Consider a definite integral involving a piecewise function multiplied by a cosine function. Because the function is defined differently over separate intervals, the integral is split...

You might also read

Related Articles

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

Sort by
Same author

Correcting spatial transcriptomics data affected by a prevalent transcript leakage problem across platforms, species, and tissues.

bioRxiv : the preprint server for biology·2026
Same author

A Coral-Inspired Dual Modal Hydrogel Sensor with Deep Learning-Assisted Decoupling of Force-Thermal Stimuli.

ACS applied materials & interfaces·2026
Same author

Rapid reduction in global chromatin loop size after acute STAG2 reconstitution in human cancer cells.

The Journal of biological chemistry·2026
Same author

Multimodal PCSC Sensors for Real-Time Temperature and Force Detection Using LRTNet.

Sensors (Basel, Switzerland)·2026
Same author

Rapid reduction in global chromatin loop size after acute STAG2 reconstitution in human cancer cells.

bioRxiv : the preprint server for biology·2026
Same author

Retroelement Hypomethylation Links Hypoxia Signaling, Immune Phenotypes, and Survival in Clear Cell Renal Cell Carcinoma.

bioRxiv : the preprint server for biology·2026
Same journal

MicroRNA expression and functions in viral infections.

Transcription·2026
Same journal

Endogenous eukaryotic CHO-K1 cell promoters as tools to improve the production of a difficult-to-express recombinant protein.

Transcription·2026
Same journal

The Goldilocks state of transcriptional readthrough for chimeric splicing.

Transcription·2026
Same journal

XAB2: a link between RNA metabolism, DNA damage repair, and human health.

Transcription·2026
Same journal

miRNA dynamics in development: orchestrators of gene expression and cell fate.

Transcription·2026
Same journal

Genomic and structural insights into TATA-Binding protein from cestodes.

Transcription·2026
See all related articles

Related Experiment Video

Updated: May 26, 2026

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

Enhancers: multi-dimensional signal integrators.

Fulai Jin1, Yan Li, Bing Ren

  • 1Ludwig Institute for Cancer Research, University of California at San Diego; La Jolla, CA, USA.

Transcription
|January 11, 2012
PubMed
Summary
This summary is machine-generated.

Enhancers regulate gene expression through protein factors, chromatin modifications, and enhancer RNAs (eRNAs). These elements integrate various signals to control tissue-specific gene activity.

More Related Videos

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Related Experiment Videos

Last Updated: May 26, 2026

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

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Area of Science:

  • Molecular Biology
  • Genetics
  • Epigenetics

Background:

  • Enhancers are crucial for tissue-specific gene expression.
  • Their precise molecular functions remain incompletely understood.
  • Enhancers are associated with specific proteins, chromatin marks, and enhancer RNAs (eRNAs).

Purpose of the Study:

  • To review recent research on enhancer function in mammalian cells.
  • To propose a model for enhancer mechanisms.
  • To highlight the role of enhancers in integrating regulatory inputs.

Main Methods:

  • Review of recent scientific literature on enhancers.
  • Analysis of molecular mechanisms of enhancer function.
  • Integration of data on transcription factors, epigenetic states, and eRNAs.

Main Results:

  • Enhancers recruit specific protein factors and undergo characteristic chromatin modifications.
  • Enhancers produce non-coding RNAs (eRNAs).
  • Genomic identification of enhancers is facilitated by these associated signatures.

Conclusions:

  • Enhancers act as platforms integrating lineage-specific transcription factors and epigenetic states.
  • They also integrate ubiquitous, signal-dependent transcriptional inputs.
  • This integration leads to highly specific gene expression programs crucial for cellular function.