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

Cell Migration01:09

Cell Migration

Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
TGF - β Signaling Pathway01:16

TGF - β Signaling Pathway

The TGF-β signaling pathway regulates cell growth, differentiation, adhesion, motility, and development. TGF-β ligands that induce TGF-β signaling are synthesized in their latent form. Several proteases or cell surface receptors such as integrins act upon the latent form, releasing the active ligand. There are three types of mammalian TGF-βs: (TGF-β1, TGF-β2, and TGF-β3) that bind as homodimers or heterodimers to TGF-β receptors. The TGF-β receptors are of three kinds RI, RII, and RIII. The RI...
Actin Polymerization and Cell Motility01:13

Actin Polymerization and Cell Motility

Actin is a family of globular proteins that are highly abundant in eukaryotic cells. It makes up approximately 1-5% of total cell protein concentration. Actin monomers polymerize to form a complex network of polarized filaments, the actin cytoskeleton, that plays a crucial role in many cellular processes, including cell motility, division, endocytosis, and metastasis of cancer cells.
Actin cytoskeleton dynamics can produce pushing, pulling, and resistance forces that help the cell to migrate.
Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker proteins that...
T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
tRNA Activation02:26

tRNA Activation

Aminoacyl-tRNA synthetases are present in both eukaryotes and bacteria. Though eukaryotes have 20 different aminoacyl-tRNA synthetases to couple to 20 amino acids, many bacteria do not have genes for all of these aminoacyl-tRNA synthetases. Despite this, they still use all 20 amino acids to synthesize their proteins. For instance, some bacteria do not have the gene encoding the enzyme that couples glutamine with its partner tRNA. In these organisms, one enzyme adds glutamic acid to all of the...

You might also read

Related Articles

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

Sort by
Same author

Impact of fludarabine dosage on outcomes in large B-cell lymphoma patients treated with CAR T-cell therapy: a retrospective study of the CTIWP of the EBMT.

Bone marrow transplantation·2026
Same author

Access to CAR-T cell therapy in Central and Eastern Europe: persistent barriers and inequalities as of October/November 2025.

Bone marrow transplantation·2026
Same author

Author Correction: Engineering anti-BCMA CAR T cells for enhancing myeloma killing efficacy via apoptosis regulation.

Nature communications·2026
Same author

Bridging therapy before CAR-T for multiple myeloma: a survey from the CMWP and CTIWP of the EBMT.

Bone marrow transplantation·2026
Same author

Outcomes of patients over 70 years treated with brexu-cel for R/R mantle cell lymphoma: a study from the CTIWP of EBMT.

Blood advances·2026
Same author

Commentary on "Comparative efficacy and safety of PSCA CAR-engineered Vδ1 γδ T cells for immunotherapy of pancreatic cancer".

Journal for immunotherapy of cancer·2026
Same journal

Inducing physiological polarity and performing gene editing using CRISPR-Cas9 in human trophoblast organoids.

Nature protocols·2026
Same journal

Photocatalytic low-temperature defluorination of PTFE.

Nature protocols·2026
Same journal

Multimodal imaging and quantification of lanthanide chelate-labeled micro- and nanoplastics in plants.

Nature protocols·2026
Same journal

Facilitating structure-based drug discovery with an artificial intelligence-driven virtual screening platform.

Nature protocols·2026
Same journal

Yeast nuclei-mediated precise delivery of synthetic megabase-scale human DNA into mammalian embryos.

Nature protocols·2026
Same journal

Direct inoculation of bioreactor-controlled stirred suspension culture with cryopreserved human pluripotent stem cells.

Nature protocols·2026
See all related articles

Related Experiment Video

Updated: Jun 15, 2026

Author Spotlight: Understanding Disease Mechanisms Through Real-Time Analysis of T-Cell Migration
06:42

Author Spotlight: Understanding Disease Mechanisms Through Real-Time Analysis of T-Cell Migration

Published on: May 24, 2024

1.2K

Mapping T cell dynamics to molecular profiles through behavior-guided transcriptomics.

A K L Wezenaar1,2, U Pandey1,2, F Keramati1

  • 1Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.

Nature Protocols
|February 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces Behavior-Guided Transcriptomics (BGT), integrating live imaging with single-cell RNA sequencing to link T cell behaviors with their gene expression. This approach identifies biomarkers to improve cancer immunotherapy effectiveness.

More Related Videos

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

6.9K
Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience
08:14

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

11.6K

Related Experiment Videos

Last Updated: Jun 15, 2026

Author Spotlight: Understanding Disease Mechanisms Through Real-Time Analysis of T-Cell Migration
06:42

Author Spotlight: Understanding Disease Mechanisms Through Real-Time Analysis of T-Cell Migration

Published on: May 24, 2024

1.2K
Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

6.9K
Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience
08:14

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

11.6K

Area of Science:

  • Cancer Research
  • Immunology
  • Biotechnology

Background:

  • Cellular immunotherapy and immune oncology cocultures are crucial for assessing antitumor responses.
  • BEHAV3D platform provides 3D live imaging of T cell-tumor interactions but lacks molecular insights.
  • Single-cell RNA sequencing (scRNA-seq) offers molecular data but lacks spatio-temporal resolution.

Purpose of the Study:

  • To integrate live imaging data with scRNA-seq for a comprehensive understanding of T cell behavior in cancer treatment.
  • To develop Behavior-Guided Transcriptomics (BGT) for linking dynamic T cell behaviors to specific gene programs.
  • To identify novel biomarkers for enhancing therapeutic efficacy in cellular immunotherapy.

Main Methods:

  • Extension of the BEHAV3D protocol to incorporate scRNA-seq.
  • Utilizing live imaging data to guide cell separation based on patient-derived tumor organoid (PDO) engagement.
  • Employing fluorescence-activated cell sorting (FACS) and scRNA-seq.
  • Integrating in silico simulations to infer T cell behavior from transcriptomic data.

Main Results:

  • Successful integration of dynamic T cell imaging with single-cell transcriptomics.
  • Identification of gene programs associated with specific T cell behaviors during tumor targeting.
  • Discovery of new biomarkers indicative of both functional and ineffective T cells.
  • Demonstration of BGT's potential to enhance therapeutic efficacy.

Conclusions:

  • Behavior-Guided Transcriptomics (BGT) bridges the gap between dynamic cellular behavior and molecular profiles.
  • BGT enables the discovery of biomarkers for optimizing cancer immunotherapy.
  • The protocol is adaptable, user-friendly, and can be completed within one month.