Introduction to CCLE Land Content
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Contents |
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 |
CCLE_DepMap_Preview_B37 and CCLE_DepMap_Preview_B38
Starting with the 2019R3 release, we integrated DepMap CRISPR and RNAi dependency data into CCLE Lands, which can be found in CCLE_DepMap_Preview_B37 and CCLE_DepMap_Preview_B38.
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)
- Gene Dependency (CCLE_DepMap_Preview)
- CRISPR
- RNAi
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
- Virus data: View viral sequence counts in Land RNA-seq Data
- 16S Microbial data: Bacterial counts from 16S rRNA
Omicsoft does not reprocess other genomic data, but extracts data directly from original datasets.
- CRISPR data: Achilles Gene Effect (2019R3)
- RNAi data: DEMETER2 Data v5 (combined)
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.
Primary Grouping
Primary Site
Sample Distribution by Primary Site
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.
DNA Mutation
Multiple visualizations display frequency and locations of gene mutations in CCLE samples, including the Mutation Landscape View.
Copy Number Variation
Copy number data can be visualized for a gene of interest, grouped by any metadata column, such as Histology.