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Home › Dataset Library › Mesothelioma tumor gene expression profiles

Dataset: Mesothelioma tumor gene expression profiles

Malignant pleural mesotheliomas (MPMs) often show CDKN2A and NF2 inactivation but other highly recurrent mutations have not been...

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Malignant pleural mesotheliomas (MPMs) often show CDKN2A and NF2 inactivation but other highly recurrent mutations have not been described. To identify additional driver genes, we used an integrated genomic analysis of 53 MPM tumor samples to guide a focused sequencing effort that uncovered somatic inactivating mutations in BAP1 in 23% of MPM. The BAP1 nuclear deubiquitinase is known to target histones (together with ASXL1 as a Polycomb repressor subunit) and the HCF1 transcriptional co-factor, and we show that BAP1 knockdown in MPM cell lines affects E2F and Polycomb target genes. These findings implicate transcriptional deregulation in the pathogenesis of MPM. Total RNA from 53 pleural mesothelioma tumors was extracted and hybridized to Affymetrix gene expression arrays to compile a set of gene expression profiling data for this disease.

Species:
human

Samples:
53

Source:
E-GEOD-29354

Updated:
Dec.12, 2014

Registered:
Jun.18, 2014


Factors: (via ArrayExpress)
Sample SUBTYPE
GSM725618 epi
GSM725617 sarc
GSM725616 biphasic
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725617 sarc
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725616 biphasic
GSM725616 biphasic
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725617 sarc
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725617 sarc
GSM725616 biphasic
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725616 biphasic
GSM725618 epi
GSM725616 biphasic
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725616 biphasic
GSM725618 epi
GSM725618 epi
GSM725618 epi
GSM725617 sarc
GSM725616 biphasic
GSM725618 epi
GSM725616 biphasic
GSM725616 biphasic

Tags

  • cell
  • disease

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