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WDR5 supports colon cancer cells by promoting methylation of H3K4 and suppressing DNA damage.

Beth K Neilsen | Binita Chakraborty | Jamie L McCall | Danielle E Frodyma | Richard L Sleightholm | Kurt W Fisher | Robert E Lewis
BMC cancer | 2018

KMT2/MLL proteins are commonly overexpressed or mutated in cancer and have been shown to support cancer maintenance. These proteins are responsible for methylating histone 3 at lysine 4 and promoting transcription and DNA synthesis; however, they are inactive outside of a multi-protein complex that requires WDR5. WDR5 has been implicated in cancer for its role in the COMPASS complex and its interaction with Myc; however, the role of WDR5 in colon cancer has not yet been elucidated.

Pubmed ID: 29925347

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NCI NIH HHS, United States
    Id: R01 CA157774
  • Agency: NCI NIH HHS, United States
    Id: F30 CA203397
  • Agency: NIGMS NIH HHS, United States
    Id: P20 GM104320
  • Agency: NCI NIH HHS, United States
    Id: P30 CA036727
  • Agency: NCI NIH HHS, United States
    Id: T32 CA009476

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This is a list of tools and resources that we have found mentioned in this publication.


The Cancer Genome Atlas (tool)

RRID:SCR_003193

Project exploring the spectrum of genomic changes involved in more than 20 types of human cancer that provides a platform for researchers to search, download, and analyze data sets generated. As a pilot project it confirmed that an atlas of changes could be created for specific cancer types. It also showed that a national network of research and technology teams working on distinct but related projects could pool the results of their efforts, create an economy of scale and develop an infrastructure for making the data publicly accessible. Its success committed resources to collect and characterize more than 20 additional tumor types. Components of the TCGA Research Network: * Biospecimen Core Resource (BCR); Tissue samples are carefully cataloged, processed, checked for quality and stored, complete with important medical information about the patient. * Genome Characterization Centers (GCCs); Several technologies will be used to analyze genomic changes involved in cancer. The genomic changes that are identified will be further studied by the Genome Sequencing Centers. * Genome Sequencing Centers (GSCs); High-throughput Genome Sequencing Centers will identify the changes in DNA sequences that are associated with specific types of cancer. * Proteome Characterization Centers (PCCs); The centers, a component of NCI's Clinical Proteomic Tumor Analysis Consortium, will ascertain and analyze the total proteomic content of a subset of TCGA samples. * Data Coordinating Center (DCC); The information that is generated by TCGA will be centrally managed at the DCC and entered into the TCGA Data Portal and Cancer Genomics Hub as it becomes available. Centralization of data facilitates data transfer between the network and the research community, and makes data analysis more efficient. The DCC manages the TCGA Data Portal. * Cancer Genomics Hub (CGHub); Lower level sequence data will be deposited into a secure repository. This database stores cancer genome sequences and alignments. * Genome Data Analysis Centers (GDACs) - Immense amounts of data from array and second-generation sequencing technologies must be integrated across thousands of samples. These centers will provide novel informatics tools to the entire research community to facilitate broader use of TCGA data. TCGA is actively developing a network of collaborators who are able to provide samples that are collected retrospectively (tissues that had already been collected and stored) or prospectively (tissues that will be collected in the future).

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FlowJo (tool)

RRID:SCR_008520

Software for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.

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FISHER (tool)

RRID:SCR_009181

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 1st, 2022. Software application for genetic analysis of classical biometric traits like blood pressure or height that are caused by a combination of polygenic inheritance and complex environmental forces. (entry from Genetic Analysis Software)

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HCT 15 (tool)

RRID:CVCL_0292

Cell line HCT 15 is a Cancer cell line with a species of origin Homo sapiens (Human)

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HCT 116 (tool)

RRID:CVCL_0291

Cell line HCT 116 is a Cancer cell line with a species of origin Homo sapiens (Human)

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SW480 (tool)

RRID:CVCL_0546

Cell line SW480 is a Cancer cell line with a species of origin Homo sapiens (Human)

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