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Related Concept Videos

Ribosome Profiling02:24

Ribosome Profiling

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 helps...

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Related Experiment Video

Updated: Jun 20, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia
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From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

Published on: October 19, 2014

Gene expression profiling in chronic lymphocytic leukaemia.

Carles Codony1, Marta Crespo, Pau Abrisqueta

  • 1Department of Hematology and Laboratory of Experimental Hematology, Institute of Hematology and Oncology, Hospital Clínic, IDIBAPS, University of Barcelona, Barcelona, Spain.

Best Practice & Research. Clinical Haematology
|August 25, 2009
PubMed
Summary

Advancements in multiparametric analysis enhance understanding of cancer origins and treatment. Gene profiling in chronic lymphocytic leukemia (CLL) identifies new prognosis markers and treatment response indicators.

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Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Multiparametric analysis techniques offer deeper insights into cancer biology.
  • Gene expression, DNA mutation, methylation, and protein phosphorylation are key areas of study.
  • Chronic lymphocytic leukemia (CLL) research benefits from these advanced analytical methods.

Purpose of the Study:

  • To explore the role of multiparametric studies in understanding cancer.
  • To highlight the significance of gene profiling in chronic lymphocytic leukemia (CLL).
  • To identify novel prognosis markers and treatment response predictors for CLL.

Main Methods:

  • Multiparametric analysis of gene expression.
  • Genomic DNA mutational state assessment.
  • DNA methylation and protein phosphorylation studies.

Main Results:

  • Identification of prognosis markers like zeta-associated protein-70 (ZAP-70), LPL, and CLLU1 in CLL.
  • Underscored the importance of 13q14 deletion in CLL origin.
  • Highlighted the role of 13q and 17p deletions in treatment response.

Conclusions:

  • Multiparametric studies are crucial for advancing cancer research and clinical applications.
  • New markers and genetic insights are improving prognosis and treatment strategies for CLL.
  • Further research is needed on the influence of the microenvironment on CLL cell gene expression.