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

Genomics02:02

Genomics

39.9K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.9K
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

36.9K
Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
36.9K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.1K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
9.1K
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

15.7K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
15.7K
Ribosome Profiling02:24

Ribosome Profiling

4.1K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.1K
Definite Integral01:29

Definite Integral

53
Consider a real-valued function defined on a closed interval. One of the fundamental objectives in calculus is to determine the area under the graph of such a function. When an exact computation is not readily available, this area can be estimated by dividing the interval into a finite number of equal subintervals. Each subinterval corresponds to a rectangle whose width is the length of the subinterval and whose height is determined by the value of the function at a selected point within that...
53

You might also read

Related Articles

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

Sort by
Same author

A pilot translational study of neoadjuvant fulvestrant plus abemaciclib in women with advanced low-grade serous carcinoma.

Nature communications·2026
Same author

Somatic variant detection in normal tissues from single-cell sequencing data.

bioRxiv : the preprint server for biology·2026
Same author

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets.

Nature cancer·2026
Same author

Spatial Mapping of the Precancer-to-Cancer Transition in Breast and Prostate.

Cancer discovery·2026
Same author

Chemoradiation Reprograms Tumor Cells and the Immune Microenvironment in Cervical Cancer.

Cancer research·2026
Same author

Early Postoperative PSA Dynamics and Prognostic Implications After Radical Prostatectomy.

Cancers·2026

Related Experiment Video

Updated: Jan 26, 2026

Integrate Imaging Flow Cytometry and Transcriptomic Profiling to Evaluate Altered Endocytic CD1d Trafficking
09:01

Integrate Imaging Flow Cytometry and Transcriptomic Profiling to Evaluate Altered Endocytic CD1d Trafficking

Published on: October 29, 2018

7.1K

Integrated transcriptomic-genomic tool Texomer profiles cancer tissues.

Fang Wang1, Shaojun Zhang2, Tae-Beom Kim1

  • 1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Nature Methods
|April 17, 2019
PubMed
Summary

We created Texomer, a new statistical method for analyzing genome and transcriptome data together. This approach improves the accuracy of categorizing patient samples and identifying important genetic variations.

More Related Videos

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.3K
An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.8K

Related Experiment Videos

Last Updated: Jan 26, 2026

Integrate Imaging Flow Cytometry and Transcriptomic Profiling to Evaluate Altered Endocytic CD1d Trafficking
09:01

Integrate Imaging Flow Cytometry and Transcriptomic Profiling to Evaluate Altered Endocytic CD1d Trafficking

Published on: October 29, 2018

7.1K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.3K
An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.8K

Area of Science:

  • Genomics
  • Transcriptomics
  • Bioinformatics

Background:

  • Genome and transcriptome profiling offer deep insights into tissue function.
  • Integrating these complex datasets presents significant analytical challenges.
  • Translating multi-omic data into clinical benefits requires advanced computational tools.

Purpose of the Study:

  • To develop a statistical method for integrating whole-exome and transcriptome sequencing data.
  • To enable allele-specific and tumor-deconvoluted analysis.
  • To enhance accuracy in sample categorization and functional variant prioritization.

Main Methods:

  • Developed Texomer, a novel statistical approach for data integration.
  • Applied Texomer to autologous bulk whole-exome and transcriptome sequencing data.
  • Performed allele-specific and tumor-deconvoluted analyses.

Main Results:

  • Texomer demonstrated substantially improved accuracy in sample categorization.
  • Functional variant prioritization was significantly enhanced using Texomer.
  • The method effectively integrates complex genomic and transcriptomic data.

Conclusions:

  • Texomer provides a robust framework for transcriptome-exome integration.
  • This approach facilitates the translation of multi-omic data into patient benefits.
  • Texomer advances the field of precision medicine through improved data analysis.