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Related Concept Videos

RNA-seq03:21

RNA-seq

11.6K
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...
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Ribosome Profiling02:24

Ribosome Profiling

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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...
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Related Experiment Video

Updated: Dec 26, 2025

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Single-Cell RNA Sequencing in Hematological Diseases.

Yue Zhu1,2, Yaohui Huang1,2, Yun Tan1,3

  • 1Shanghai Jiao Tong University School of Medicine, Affiliated Ruijin Hospital, 197 Rui Jin Er Road, Shanghai, 200025, China.

Proteomics
|March 18, 2020
PubMed
Summary

Single-cell RNA sequencing reveals diverse cellular makeup in hematological diseases like leukemia. This technology aids in understanding disease mechanisms and improving patient treatment strategies.

Keywords:
cellular indexing of transcriptomes and epitopes by sequencinghematological malignancysingle-cell RNA sequencingsingle-cell analysis

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Area of Science:

  • Hematology
  • Genomics
  • Molecular Biology

Background:

  • Hematological diseases (leukemia, lymphoma, multiple myeloma) exhibit significant cellular heterogeneity.
  • Understanding these diverse subpopulations is crucial for disease mechanism elucidation and treatment.

Purpose of the Study:

  • To summarize recent advancements in single-cell transcriptomics for hematological disorders.
  • To highlight the application of these technologies in dissecting disease pathogenesis and patient stratification.

Main Methods:

  • Review of single-cell RNA sequencing (scRNA-seq) technologies and applications.
  • Analysis of scRNA-seq data for identifying cellular subpopulations and variations.

Main Results:

  • scRNA-seq provides high-resolution insights into cell-to-cell variation within tumors and the microenvironment.
  • The technology enables detailed dissection of pathogenic mechanisms in hematological malignancies.

Conclusions:

  • Single-cell transcriptomics is a transformative tool for hematological disease research.
  • Applications include unraveling cellular heterogeneity, understanding pathogenesis, stratifying patients, and predicting therapeutic responses.