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

RNA-seq03:21

RNA-seq

11.8K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.8K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.6K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.6K
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

You might also read

Related Articles

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

Sort by
Same author

Lineage-restricted dependency on an oncofetal SNHG29-IGF2BP1 RNA axis in acute megakaryoblastic leukemia.

Leukemia·2026
Same author

Knowledge Gaps and Barriers to Care in Men with Postprostatectomy Incontinence: Evidence from the German ProKontinenz Trial.

European urology open science·2026
Same author

TACR3 variant confers resilience to aging and Alzheimer's disease.

medRxiv : the preprint server for health sciences·2026
Same author

[Skin manifestations in orthopedic diseases (notalgia paresthetica and brachioradial pruritus)].

Orthopadie (Heidelberg, Germany)·2026
Same author

[Bundled payment: A promising approach in reimbursement? Results from the sekTOR-HF project for left-sided heart failure in Germany].

Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))·2026
Same author

[Neuropathic Pruritus in Orthopedic Conditions: Brachioradial Pruritus and Notalgia Paresthetica].

MMW Fortschritte der Medizin·2026
Same journal

Functional Genomic Evidence for Candidate Small Viral RNA-Mediated Epigenetic Interference in SARS-CoV-1 and SARS-CoV-2.

Computational and structural biotechnology journal·2026
Same journal

From Pixels to Patterns: A Multidimensional Framework to Decode Cytoskeletal Organization.

Computational and structural biotechnology journal·2026
Same journal

A Large Concept Model for Mechanistic Simulation of Disease Trajectories: A Hypothesis-Generating Exemplar for Pediatric Acute Lymphoblastic Leukemia.

Computational and structural biotechnology journal·2026
Same journal

Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein Design.

Computational and structural biotechnology journal·2026
Same journal

High-Throughput Prediction of Protein-Protein Interactions Uncovers Hidden Molecular Networks in Biosynthetic Gene Clusters.

Computational and structural biotechnology journal·2026
Same journal

A Region-Aware Structured Framework Improves Prediction of Gene Expression from DNA Methylation.

Computational and structural biotechnology journal·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
07:29

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Published on: May 16, 2020

6.6K

RNA-seq-derived sequence variations are excellent features for cell line identification.

Lisa Müller1, Simon Müller2, Khursheed Ul Islam Mir3

  • 1Institute of Molecular Medicine, Section for RNA Biology and Pathogenesis, Faculty of Medicine, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Straße 3a, 06120, Halle, Germany.

Computational and Structural Biotechnology Journal
|January 16, 2026
PubMed
Summary
This summary is machine-generated.

This study shows RNA-seq data can reliably identify human cell lines and detect contamination, ensuring research accuracy. Our new methods offer robust cell line authentication for disease mechanism studies.

Keywords:
CCLECell line identificationCross-contaminationK-nearest neighborMachine learning

More Related Videos

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.7K
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K

Related Experiment Videos

Last Updated: Jan 18, 2026

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
07:29

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Published on: May 16, 2020

6.6K
Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.7K
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.6K

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Cell lines are crucial for studying human diseases but are prone to misidentification and contamination.
  • Current authentication methods like short tandem repeat profiling do not guarantee the integrity of published results.
  • Ensuring cell line authenticity is vital for reproducible and reliable scientific research.

Purpose of the Study:

  • To develop a reliable method for cell line identification using RNA-seq data.
  • To establish a system for detecting cross-contamination in human cell line samples.
  • To provide a robust tool for validating cell line identity in research studies.

Main Methods:

  • Utilized RNA-sequencing (RNA-seq) derived sequence variation for cell line clustering.
  • Applied supervised machine learning algorithms for cell line identification.
  • Developed the topFracCCLE algorithm for cell line authentication and cross-contamination detection.

Main Results:

  • Demonstrated that RNA-seq data enables unambiguous, cell line-specific clustering.
  • Successfully identified cell lines and detected cross-contamination using proposed methods.
  • The developed methods proved insensitive to variations in data pre-processing and quality control.

Conclusions:

  • RNA-seq data offers a powerful approach for accurate cell line identification and contamination detection.
  • The topFracCCLE algorithm provides a reliable solution for ensuring cell line integrity in research.
  • These findings enhance the trustworthiness of studies utilizing cell line models for human disease research.