Introduction to CCLE Land Content

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CCLE_B37 and CCLE_B38

The Cancer Cell Line Encyclopedia (CCLE) project is an effort to conduct a detailed genetic characterization of a large panel of human cancer cell lines. OmicSoft's CCLE_B37 Land release provides analysis and visualization of DNA copy number, mRNA expression, mutation data and more, for 1000 cancer cell lines. These data can also provide the link between pharmacologic vulnerabilities and genomic/expression patterns, with Land Measurement Queries.

Land Version Genome Build Gene Model
CCLE_B37 Human.B37.3 OmicsoftGene20130723
CCLE_B38 Human.B38 OmicsoftGenCode_V24

Data Source


Data Types

  • CNV, based on segmented CNV files (downloaded)
  • CNV Call, GISTIC2 calls
  • DNASeq_Mutation
  • DNASeq_Mutation_Exome
  • Expression Intensity Probes (Affymetrix)
  • RNA-Seq, including:
    • Single-end and Paired-end fusion calling
    • RNA-Seq somatic mutation, from matched tumor/normal pairs
    • Exon Junction and Exon Usage
    • Expression (Gene- and Transcript- level quantification)

Laboratory Methods

  • Affymetrix Expression Array (Affymetrix.HG-U133_Plus_2)
  • Illumina HiSeq RNA sequencing (HiSeq 2000)
  • Hybrid capture sequencing

Processing Methods

Expression Data: Omicsoft Affymetrix Microarray Preprocessing

RNA-Seq data: OmicScript RNAseq Pipeline and Building Lands From RNA-Seq Data

Omicsoft does not reprocess other genomic data, but extracts data directly from original datasets.

Key Meta Data Columns

  • Primary Site: The body site where the cell line sample is derived from.
  • Histology: Histological types of cancer, such as carcinoma, glioma and sarcoma.
  • Land Tissue: The tissue from which the cell line was derived, using OmicSoft's curation Controlled Vocabulary
  • Land Sample Type: A detailed description of the cell type from which the cell line was derived, using OmicSoft's curation Controlled Vocabulary
  • Tumor or Normal: Indicates whether a sample is from a tumor or normal sample.
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Primary Grouping

Primary Site

Sample Distribution by Primary Site


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Key Views

Gene Expression

One of the most common ways to visualize gene expression data is a per-sample Scatter plot (e.g. Gene FPKM), with each sample grouped by Primary Site on the Y-axis, and expression level plotted on the X-axis:


Additional Views include transcript-level and exon-level views, pairwise comparison plots, and direct visualization of RNAseq coverage with the OmicSoft Genome Browser.

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DNA Mutation

Multiple visualizations display frequency and locations of gene mutations in CCLE samples, including the Mutation Landscape View.


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Copy Number Variation

Copy number data can be visualized for a gene of interest, grouped by any metadata column, such as Histology.


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