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Related Concept Videos

RNA-seq03:21

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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. 
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In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Related Experiment Video

Updated: Apr 22, 2026

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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Sequencing the AML genome, transcriptome, and epigenome.

Elaine R Mardis1

  • 1The Genome Institute, Washington University School of Medicine, St. Louis, MO.

Seminars in Hematology
|October 15, 2014
PubMed
Summary
This summary is machine-generated.

Genomic analysis of leukemia has advanced from microscopy to whole-genome sequencing (WGS). Integrating genomic, methylation, and RNA data improves understanding and prognosis for acute myeloid leukemia (AML) patients.

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Area of Science:

  • Hematology
  • Genomics
  • Molecular Biology

Background:

  • Leukemia arises from genomic alterations in hematopoietic cells.
  • Microscopic examination revealed correlations between leukemia subtypes and chromosomal abnormalities (e.g., t(15;17), t(9;22)).
  • Advancements in sequencing technology enable nucleotide-level genomic analysis.

Purpose of the Study:

  • To characterize the genomic landscape of leukemia using advanced sequencing techniques.
  • To integrate genomic, methylation, and RNA expression data for a comprehensive understanding of leukemia biology.
  • To improve the diagnosis, prognosis, and treatment of acute myeloid leukemia (AML).

Main Methods:

  • Whole-genome sequencing (WGS) for analyzing genomic alterations.
  • Massively parallel sequencing (MPS) for high-resolution genomic and epigenomic analysis.
  • Algorithmic analysis of WGS data, including methylation and RNA expression profiles.

Main Results:

  • Identification of specific genomic alterations in leukemia subtypes.
  • Decoding of the leukemia genome's methylation landscape.
  • Analysis of the leukemia transcriptome's RNA expression landscape.

Conclusions:

  • Genomic characterization of leukemia has evolved significantly with WGS and MPS.
  • Integration of multi-omics data (genomics, epigenomics, transcriptomics) provides deeper biological insights.
  • Enhanced understanding of AML biology facilitates improved patient care and prognostic assessment.