Denise Brooks
University of British Columbia
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Publication
Featured researches published by Denise Brooks.
Cancer Cell | 2015
Amy L. Walz; Ariadne H. A. G. Ooms; Samantha Gadd; Daniela S. Gerhard; Malcolm A. Smith; Jamie M. GuidryAuvil; Daoud Meerzaman; Qing Rong Chen; Chih Hao Hsu; Chunhua Yan; Cu Nguyen; Ying Hu; Reanne Bowlby; Denise Brooks; Yussanne Ma; Andrew J. Mungall; Richard A. Moore; Jacqueline E. Schein; Marco A. Marra; Vicki Huff; Jeffrey S. Dome; Yueh Yun Chi; Charles G. Mullighan; Jing Ma; David A. Wheeler; Oliver A. Hampton; Nadereh Jafari; Nicole Ross; Julie M. Gastier-Foster; Elizabeth J. Perlman
We report the most common single-nucleotide substitution/deletion mutations in favorable histology Wilms tumors (FHWTs) to occur within SIX1/2 (7% of 534 tumors) and microRNA processing genes (miRNAPGs) DGCR8 and DROSHA (15% of 534 tumors). Comprehensive analysis of 77 FHWTs indicates that tumors with SIX1/2 and/or miRNAPG mutations show a pre-induction metanephric mesenchyme gene expression pattern and are significantly associated with both perilobar nephrogenic rests and 11p15 imprinting aberrations. Significantly decreased expression of mature Let-7a and the miR-200 family (responsible for mesenchymal-to-epithelial transition) in miRNAPG mutant tumors is associated with an undifferentiated blastemal histology. The combination of SIX and miRNAPG mutations in the same tumor is associated with evidence of RAS activation and a higher rate of relapse and death.
Nucleic Acids Research | 2016
Andy Chu; Gordon Robertson; Denise Brooks; Andrew J. Mungall; Inanc Birol; Robin Coope; Yussanne Ma; Steven J.M. Jones; Marco A. Marra
The comprehensive multiplatform genomics data generated by The Cancer Genome Atlas (TCGA) Research Network is an enabling resource for cancer research. It includes an unprecedented amount of microRNA sequence data: ∼11 000 libraries across 33 cancer types. Combined with initiatives like the National Cancer Institute Genomics Cloud Pilots, such data resources will make intensive analysis of large-scale cancer genomics data widely accessible. To support such initiatives, and to enable comparison of TCGA microRNA data to data from other projects, we describe the process that we developed and used to generate the microRNA sequence data, from library construction through to submission of data to repositories. In the context of this process, we describe the computational pipeline that we used to characterize microRNA expression across large patient cohorts.
FEMS Microbiology Ecology | 2011
Denise Brooks; Ronald Chan; Elizabeth Starks; Susan J. Grayston; Melanie D. Jones
Ectomycorrhizal fungi (EMF) provide nutrients to their hosts by means of hyphae that extend beyond nutrient-depleted rhizosphere soil. Soil bacteria may compete with EMF for nutrients or may act synergistically to enhance nutrient supply to hosts. To assess the interactions between hyphae and bacteria, two types of small, sand-filled mesh bags were incubated in a Pseudotsuga menziesii/Betula papyrifera forest. The bags allowed ingrowth by EMF (35-μm mesh) or excluded hyphae (0.5-μm mesh), while allowing migration of soil bacteria. After incubation, bacteria were isolated from bags using a method to enrich for Gram-positive bacteria. Isolates were assayed for phosphatase and N-acetyl glucosaminidase (NAGase) activities to assess the potential to access organic phosphorus and nitrogen. The average phosphatase activities were higher in exclusion than ingrowth bags, while NAGase activities did not differ. Streptomyces isolates, which are expected to be strong competitors and antagonists of EMF, were more prevalent in ingrowth bags and yet had lower phosphatase activities. Furthermore, there were no indications of antagonism between fungi and Streptomyces, as there were no increases in NAGase activities in ingrowth bags. We conclude that fungal hyphae can structure components of the soil bacterial community for decreased extracellular enzyme production.
Oncotarget | 2016
Yinghong Pan; Gordon Robertson; Lykke Pedersen; Emilia Lim; Anadulce Hernandez-Herrera; Amy C. Rowat; Sagar L. Patil; Clara K. Chan; Yunfei Wen; Xinna Zhang; Upal Basu-Roy; Alka Mansukhani; Andy Chu; Payal Sipahimalani; Reanne Bowlby; Denise Brooks; Nina Thiessen; Cristian Coarfa; Yussanne Ma; Richard A. Moore; Jacquie Schein; Andrew J. Mungall; Jinsong Liu; Chad V. Pecot; Anil K. Sood; Steven J.M. Jones; Marco A. Marra; Preethi H. Gunaratne
Ovarian cancer presents as an aggressive, advanced stage cancer with widespread metastases that depend primarily on multicellular spheroids in the peritoneal fluid. To identify new druggable pathways related to metastatic progression and spheroid formation, we integrated microRNA and mRNA sequencing data from 293 tumors from The Cancer Genome Atlas (TCGA) ovarian cancer cohort. We identified miR-509-3p as a clinically significant microRNA that is more abundant in patients with favorable survival in both the TCGA cohort (P = 2.3E–3), and, by in situ hybridization (ISH), in an independent cohort of 157 tumors (P < 1.0E–3). We found that miR-509-3p attenuated migration and disrupted multi-cellular spheroids in HEYA8, OVCAR8, SKOV3, OVCAR3, OVCAR4 and OVCAR5 cell lines. Consistent with disrupted spheroid formation, in TCGA data miR-509-3ps most strongly anti-correlated predicted targets were enriched in components of the extracellular matrix (ECM). We validated the Hippo pathway effector YAP1 as a direct miR-509-3p target. We showed that siRNA to YAP1 replicated 90% of miR-509-3p-mediated migration attenuation in OVCAR8, which contained high levels of YAP1 protein, but not in the other cell lines, in which levels of this protein were moderate to low. Our data suggest that the miR-509-3p/YAP1 axis may be a new druggable target in cancers with high YAP1, and we propose that therapeutically targeting the miR-509-3p/YAP1/ECM axis may disrupt early steps in multi-cellular spheroid formation, and so inhibit metastasis in epithelial ovarian cancer and potentially in other cancers.
Nature Communications | 2018
Guermarie Velazquez-Torres; Einav Shoshan; Cristina Ivan; Li Huang; Enrique Fuentes-Mattei; Harrison Paret; Sun Jin Kim; Cristian Rodriguez-Aguayo; Victoria K. Xie; Denise Brooks; Steven J.M. Jones; A. Gordon Robertson; George A. Calin; Gabriel López-Berenstein; Anil K. Sood; Menashe Bar-Eli
Previously we have reported that metastatic melanoma cell lines and tumor specimens have reduced expression of ADAR1 and consequently are impaired in their ability to perform A-to-I microRNA (miRNA) editing. The effects of A-to-I miRNAs editing on melanoma growth and metastasis are yet to be determined. Here we report that miR-378a–3p is undergoing A-to-I editing only in the non-metastatic but not in metastatic melanoma cells. The function of the edited form is different from its wild-type counterpart. The edited form of miR-378a-3p preferentially binds to the 3′-UTR of the PARVA oncogene and inhibits its expression, thus preventing the progression of melanoma towards the malignant phenotype. Indeed, edited miR-378a-3p but not its WT form inhibits melanoma metastasis in vivo. These results further emphasize the role of RNA editing in melanoma progression.In melanoma, reduced ADAR1 impairs A-to-I microRNA editing. Here, the authors show that miR-378a-3p undergoes this editing in non-metastatic cells and the edited form of miR-378a-3p binds to the PARVA oncogene, inhibiting its expression and preventing melanoma progression and metastasis.
PLOS ONE | 2017
Simon Haile; Pawan Pandoh; Helen McDonald; Richard Corbett; Philip S. Tsao; Heather Kirk; Tina MacLeod; Martin Jones; Steve Bilobram; Denise Brooks; Duane E. Smailus; Christian Steidl; David W. Scott; Miruna Bala; Martin Hirst; Diane B. Miller; Richard A. Moore; Andrew J. Mungall; Robin Coope; Yussanne Ma; Yongjun Zhao; Robert A. Holt; Steven J.M. Jones; Marco A. Marra
Curation and storage of formalin-fixed, paraffin-embedded (FFPE) samples are standard procedures in hospital pathology laboratories around the world. Many thousands of such samples exist and could be used for next generation sequencing analysis. Retrospective analyses of such samples are important for identifying molecular correlates of carcinogenesis, treatment history and disease outcomes. Two major hurdles in using FFPE material for sequencing are the damaged nature of the nucleic acids and the labor-intensive nature of nucleic acid purification. These limitations and a number of other issues that span multiple steps from nucleic acid purification to library construction are addressed here. We optimized and automated a 96-well magnetic bead-based extraction protocol that can be scaled to large cohorts and is compatible with automation. Using sets of 32 and 91 individual FFPE samples respectively, we generated libraries from 100 ng of total RNA and DNA starting amounts with 95–100% success rate. The use of the resulting RNA in micro-RNA sequencing was also demonstrated. In addition to offering the potential of scalability and rapid throughput, the yield obtained with lower input requirements makes these methods applicable to clinical samples where tissue abundance is limiting.
Nature Cell Biology | 2015
Einav Shoshan; Aaron K. Mobley; Russell R. Braeuer; Takafumi Kamiya; Li Huang; Mayra Vasquez; Ahmad Salameh; Ho Jeong Lee; Sun Jin Kim; Cristina Ivan; Guermarie Velazquez-Torres; Ka Ming Nip; Kelsey Zhu; Denise Brooks; Steven J.M. Jones; Inanc Birol; Maribel Mosqueda; Yu Ye Wen; Agda Karina Eterovic; Anil K. Sood; Patrick Hwu; Jeffrey E. Gershenwald; A. Gordon Robertson; George A. Calin; Gal Markel; Isaiah J. Fidler; Menashe Bar-Eli
Soil Biology & Biochemistry | 2007
Shufu Dong; Denise Brooks; Melanie D. Jones; Susan J. Grayston
Soil Biology & Biochemistry | 2013
Denise Brooks; Brendan D. Twieg; Susan J. Grayston; Melanie D. Jones
Oncotarget | 2017
Yinghong Pan; Gordon Robertson; Lykke Pedersen; Emilia Lim; Anadulce Hernandez-Herrera; Amy C. Rowat; Sagar L. Patil; Clara K. Chan; Yunfei Wen; Xinna Zhang; Upal Basu-Roy; Alka Mansukhani; Andy Chu; Payal Sipahimalani; Reanne Bowlby; Denise Brooks; Nina Thiessen; Cristian Coarfa; Yussanne Ma; Richard A. Moore; Jacquie Schein; Andrew J. Mungall; Jinsong Liu; Chad V. Pecot; Anil K. Sood; Steven J.M. Jones; Marco A. Marra; Preethi H. Gunaratne