Associate Professor Daniel Catchpoole
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Associate Professor Daniel Catchpoole

Associate Professor
Paediatrics & Child Health, Children's Hospital, Westmead
Phone
+61 2 9845 1205
Fax
+61 2 9845 3078
Associate Professor Daniel Catchpoole

BAppSc (Biomedical), PhD (UNSW) 1995. Dr Catchpoole has 20 years fulltime laboratory research experience into the molecular basis of paediatric malignancies and has extensive experience with the analysis of gene expression as well as cellular and molecular applications associated with research into acute lymphoblastic leukaemia. Since completing his undergraduate degree in 1987, Dr Catchpooles scientific achievements and publications have centred on paediatric malignancy, specifically acute lymphoblastic leukaemia and neuroblastoma, as well as cancer prone syndromes in children, namely Beckwith Wiedemann syndrome.

Dr Catchpoole was appointed Head of the Tumour Bank at The Childrens Hospital at Westmead in 2001 and is one of the founding members of the Australian Biospecimens Network - www.abrn.net . Dr Catchpoole has established microarray technology within the Childrens Cancer Research Unit of The Childrens Hospital at Westmead. Dr Catchpoole also conducts lectures for Sydney University (Course: Molecular Biology of Development) on the subject of microarray analysis of gene expression.

Australiasian Biospecimens Network Association

International Society for Biological and Environmental Repositories (President 2020-2021)

Cancer

Publications

Book Chapters

  • Catchpoole, D., Guo, D., Kennedy, P., Ubaudi, F., Simoff, S. (2009). Microarray Data Mining: Selecting Trustworthy Genes with Gene Feathure Ranking. In Longbing Cao, Philip S Yu, Chengqi Zhang, Huaifeng Zhang (Eds.), Data Mining for Business Applications, (pp. 159-167). US: Springer. [More Information]
  • Kennedy, P., Simoff, S., Catchpoole, D., Skillicorn, D., Ubaudi, F., Al-Oqaily, A. (2008). Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia. In Simoff & Böhlen (Eds.), Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, (pp. 367-388). USA: Springer. [More Information]

Journals

  • Khoo, W., Jackson, K., Phetsouphanh, C., Zaunders, J., Alquicira-Hernandez, J., Yazar, S., Ruiz-Diaz, S., Singh, M., Dhenni, R., Kyaw, W., Burrell, R., Catchpoole, D., Tang, B., et al (2023). Tracking the clonal dynamics of SARS-CoV-2-specific T cells in children and adults with mild/asymptomatic COVID-19. Clinical Immunology, 246. [More Information]
  • Maus Esfahani, N., Catchpoole, D., Khan, J., Kennedy, P. (2021). MCKAT: a multi-dimensional copy number variant kernel association test. BMC Bioinformatics, 22(1), 588. [More Information]
  • Esfahani, N., Catchpoole, D., Kennedy, P. (2021). SMCKAT, a Sequential Multi-Dimensional CNV Kernel-Based Association Test. Life, 11(12), 1302. [More Information]

Conferences

  • Qu,, Z., Tegegne,, Y., Simoff,, S., Kennedy,, P., Catchpoole, D., Nguyen,, Q. (2022). Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations. Communications in Computer and Information Science, : Springer Science and Business Media Deutschland GmbH.
  • Panta, A., Khushi, M., Naseem, U., Kennedy, P., Catchpoole, D. (2020). Classification of Neuroblastoma Histopathological Images Using Machine Learning. 27th International Conference on Neural Information Processing (ICONIP 2020), Cham: Springer. [More Information]
  • Nguyen, Q., Simoff, S., Catchpoole, D. (2011). Interactive visualisation with user perspective for biological data analysis. 19th Australian National Health Informatics Conference (HIC 2011), Amsterdam, Netherlands: IOS Press. [More Information]

2023

  • Khoo, W., Jackson, K., Phetsouphanh, C., Zaunders, J., Alquicira-Hernandez, J., Yazar, S., Ruiz-Diaz, S., Singh, M., Dhenni, R., Kyaw, W., Burrell, R., Catchpoole, D., Tang, B., et al (2023). Tracking the clonal dynamics of SARS-CoV-2-specific T cells in children and adults with mild/asymptomatic COVID-19. Clinical Immunology, 246. [More Information]

2022

  • Qu,, Z., Tegegne,, Y., Simoff,, S., Kennedy,, P., Catchpoole, D., Nguyen,, Q. (2022). Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations. Communications in Computer and Information Science, : Springer Science and Business Media Deutschland GmbH.

2021

  • Maus Esfahani, N., Catchpoole, D., Khan, J., Kennedy, P. (2021). MCKAT: a multi-dimensional copy number variant kernel association test. BMC Bioinformatics, 22(1), 588. [More Information]
  • Esfahani, N., Catchpoole, D., Kennedy, P. (2021). SMCKAT, a Sequential Multi-Dimensional CNV Kernel-Based Association Test. Life, 11(12), 1302. [More Information]
  • Carpentieri, D., Catchpoole, D., Vercauteren, S. (2021). Special Issue on Biobanking for Pediatric Research. Biopreservation and Biobanking, 19(2), 97. [More Information]

2020

  • Szemes, M., Melegh, Z., Bellamy, J., Greenhough, A., Kollareddy, M., Catchpoole, D., Malik, K. (2020). A Wnt-BMP4 Signaling Axis Induces MSX and NOTCH Proteins and Promotes Growth Suppression and Differentiation in Neuroblastoma. Cells, 9(3), 1-18. [More Information]
  • Panta, A., Khushi, M., Naseem, U., Kennedy, P., Catchpoole, D. (2020). Classification of Neuroblastoma Histopathological Images Using Machine Learning. 27th International Conference on Neural Information Processing (ICONIP 2020), Cham: Springer. [More Information]
  • Catchpoole, D., Florindi, F., Ahern, C., Garcia, D., Mullins, P., Van Enckevort, E., Zaayenga, A., Mayrhofer, M., Holub, P. (2020). Expanding the BBMRI-ERIC Directory into a Global Catalogue of COVID-19-Ready Collections: A Joint Initiative of BBMRI-ERIC and ISBER. Biopreservation and Biobanking, 18(5), 479-480. [More Information]

2019

  • Sin-Chan, P., Mumal, I., Suwal, T., Ho, B., Fan, X., Singh, I., Du, Y., Lu, M., Patel, N., Torchia, J., Catchpoole, D., et al (2019). A C19MC-LIN28A-MYCN Oncogenic Circuit Driven by Hijacked Super-enhancers Is a Distinct Therapeutic Vulnerability in ETMRs: A Lethal Brain Tumor. Cancer Cell, 36(1), 51-67. [More Information]
  • Bledsoe, M., Watson, P., Hewitt, R., Catchpoole, D., Grizzle, W. (2019). Biobank: What's in a Name? Biopreservation and Biobanking, 17(3), 204-208. [More Information]
  • Mateos, M., Trahair, T., Mayoh, C., Barbaro, P., Sutton, R., Revesz, T., Barbaric, D., Giles, J., Alvaro, F., Mechinaud, F., Catchpoole, D., et al (2019). Risk factors for symptomatic venous thromboembolism during therapy for childhood acute lymphoblastic leukemia. Thrombosis Research, 178, 132-138. [More Information]

2018

  • Wei, J., Kuznetsov, I., Zhang, S., Song, Y., Asgharzadeh, S., Sindiri, S., Wen, X., Patidar, R., Catchpoole, D., et al (2018). Clinically Relevant Cytotoxic Immune Cell Signatures and Clonal Expansion of T Cell Receptors in High-risk MYCN-not-amplified Human Neuroblastoma. Clinical Cancer Research, 24(22), 5673-5684. [More Information]
  • Gheisari, S., Catchpoole, D., Charlton, A., Melegh, Z., Gradhand, E., Kennedy, P. (2018). Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding. Diagnostics, 8(3), 56. [More Information]
  • Gheisari, S., Catchpoole, D., Charlton, A., Kennedy, P. (2018). Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological Images. Journal of Pathology Informatics, 9(1), A8. [More Information]

2017

  • Meng, Q., Catchpoole, D., Skillicorn, D., Kennedy, P. (2017). DBNorm: normalizing high-density oligonucleotide microarray data based on distributions. BMC Bioinformatics, 18, 1-11. [More Information]
  • Narayan, N., Morenos, L., Phipson, B., Willis, S., Brumatti, G., Eggers, S., Lalaoui, N., Brown, L., Kosasih, H., Catchpoole, D., et al (2017). Functionally distinct roles for different miR-155 expression levels through contrasting effects on gene expression, in acute myeloid leukaemia. Leukemia, 31(4), 808-820. [More Information]
  • Saletta, F., Vilain, R., Gupta, A., Nagabushan, S., Yuksel, A., Catchpoole, D., Scolyer, R., Byrne, J., McCowage, G. (2017). Programmed Death-Ligand 1 Expression in a Large Cohort of Pediatric Patients With Solid Tumor and Association With Clinicopathologic Features in Neuroblastoma. JCO Precision Oncology, 2017 (1), 1-12. [More Information]

2016

  • Catchpoole, D. (2016). 'Biohoarding': treasures not seen, stories not told. Journal of Health Services Research & Policy, 21(2), 140-142. [More Information]
  • Anaissi, A., Goyal, M., Catchpoole, D., Braytee, A., Kennedy, P. (2016). Ensemble Feature Learning of Genomic Data Using Support Vector Machine. PloS One, 11(6), 1-17. [More Information]
  • Torchia, J., Golbourn, B., Feng, S., Ho, K., Sin-Chan, P., Vasiljevic, A., Norman, J., Guilhamon, P., Garzia, L., Catchpoole, D., et al (2016). Integrated (epi)-Genomic Analyses Identify Subgroup-Specific Therapeutic Targets in CNS Rhabdoid Tumors. Cancer Cell, 30(6), 891-908. [More Information]

2015

  • Anaissi, A., Goyal, M., Catchpoole, D., Braytee, A., Kennedy, P. (2015). Case-Based Retrieval Framework for Gene Expression Data. Cancer Informatics, 14, 21-31. [More Information]
  • Chen, L., Shern, J., Wei, J., Yohe, M., Song, Y., Hurd, L., Hongling, L., Catchpoole, D., Skapek, S., Barr, F., et al (2015). Clonality and evolutionary history of rhabdomyosarcoma. PLoS Genetics, 11(3), 1-25. [More Information]
  • Song, R., Catchpoole, D., Kennedy, P., Li, J. (2015). Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach. Journal of Theoretical Biology, 380, 271-279. [More Information]

2014

  • Evans, T., Milne, E., Anderson, D., de Klerk, N., Jamieson, S., Talseth-Palmer, B., Bowden, N., Holliday, E., Rudant, J., Orsi, L., Catchpoole, D., Armstrong, B., et al (2014). Confirmation of Childhood Acute Lymphoblastic Leukemia Variants, ARID5B and IKZF1, and Interaction with Parental Environmental Exposures. PloS One, 9(10), 1-7. [More Information]

2013

  • Anaissi, A., Kennedy, P., Goyal, M., Catchpoole, D. (2013). A balanced iterative random forest for gene selection from microarray data. BMC Bioinformatics, 14(1), 1-10. [More Information]
  • Hu, M., Fletcher, J., McCahon, E., Catchpoole, D., Zhang, G., Wang, Y., Algar, E., Alexander, S. (2013). Bilateral Wilms Tumor and Early Presentation in Pediatric Patients Is Associated with the Truncation of the Wilms Tumor 1 Protein. The Journal of Pediatrics, 163(1), 224-229. [More Information]
  • Karsa, M., Dalla-Pozza, L., Venn, N., Law, T., Shi, R., Giles, J., Bahar, A., Cross, S., Catchpoole, D., Haber, M., et al (2013). Improving the identification of high risk precursor B acute lymphoblastic leukemia patients with earlier quantification of minimal residual disease. PloS One, 8(10), 1-6. [More Information]

2012

  • Sarmah, C., Samarasinghe, S., Kualsiri, R., Catchpoole, D. (2012). A Simple Affymetrix Ratio-transformation Method Yields Comparable Expression Level Quantifications with cDNA Data. International Journal of Biological and Life Sciences, 8(3), 157-162.
  • de Bock, C., Ardjmand, A., Molloy, T., Bone, S., Johnstone, D., Campbell, D., Shipman, K., Yeadon, T., Holst, J., Spanevello, M., Catchpoole, D., et al (2012). The Fat1 cadherin is overexpressed and an independent prognostic factor for survival in paired diagnosis-relapse samples of precursor B-cell acute lymphoblastic leukemia. Leukemia, 26(5), 918-926. [More Information]

2011

  • Chetcuti, A., Aktas, S., Mackie, N., Ulger, C., Toruner, G., Alkan, M., Catchpoole, D. (2011). Expression profiling reveals MSX1 and EphB2 expression correlates with the invasion capacity of Wilms tumors. Pediatric Blood and Cancer, 57(6), 950-957. [More Information]
  • Hill, V., Dunwell, T., Catchpoole, D., Krex, D., Brini, A., Griffiths, M., Craddock, C., Maher, E., Latif, F. (2011). Frequent epigenetic inactivation of KIBRA, an upstream member of the Salvador/Warts/Hippo (SWH) tumor suppressor network, is associated with specific genetic event in B-cell acute lymphocytic leukemia. Epigenetics, 6(3), 326-332. [More Information]
  • Nguyen, Q., Simoff, S., Catchpoole, D. (2011). Interactive visualisation with user perspective for biological data analysis. 19th Australian National Health Informatics Conference (HIC 2011), Amsterdam, Netherlands: IOS Press. [More Information]

2010

  • Dunwell, T., Hesson, L., Rauch, T., Wang, L., Clark, R., Dallol, A., Gentle, D., Catchpoole, D., Maher, E., Pfeifer, G., et al (2010). A genome-wide screen identifies frequently methylated genes in haematological and epithelial cancers. Molecular Cancer, 9, 1-12. [More Information]
  • Zihlif, M., Catchpoole, D., Stewart, B., Wakelin, L. (2010). Effects of DNA minor groove binding agents on global gene expression. Cancer Genomics & Proteomics, 7(6), 323-330. [More Information]
  • Catchpoole, D., Lindblom, A., Bhadri, V., Söderhall, S., Ohrmalm, L., Wong, M., Norbeck, O., Lindau, C., Rotzen-Ostlund, M., Allander, T., et al (2010). Respiratory viruses, a common microbiological finding in neutropenic children with fever. Journal Of Clinical Virology, 47(3), 234-237. [More Information]

2009

  • Zihlif, M., Catchpoole, D., Stewart, B., Wakelin, L. (2009). Effects of DNA threading bis(9-aminoacridine-4-carboxamides) on global gene expression. Cancer Genomics & Proteomics, 6(6), 317-323. [More Information]
  • Dunwell, T., Hesson, L., Pavlova, T., Zabarovska, V., Kashuba, V., Catchpoole, D., Chiaramonte, R., Brini, A., Griffiths, M., Maher, E., et al (2009). Epigenetic analysis of childhood acute lymphoblastic leukemia. Epigenetics, 4(3), 1-9. [More Information]
  • Dunwell, T., Dickinson, R., Stankovic, T., Dallol, A., Weston, V., Austen, B., Catchpoole, D., Maher, E., Latif, F. (2009). Frequent epigenetic inactivation of the SLIT2 gene in chronic and acute lymphocytic leukemia. Epigenetics, 4(4), 265-269. [More Information]

2008

  • Margetts, C., Morris, M., Astuti, D., Gentle, D., Cascon, A., McRonald, F., Catchpoole, D., Robledo, M., Neumann, H., Latif, F., et al (2008). Evaluation of a functional epigenetic approach to identify promoter region methylation in phaeochromocytoma and neuroblastoma. Endocrine-Related Cancer, 15(3), 777-786. [More Information]
  • Kennedy, P., Simoff, S., Catchpoole, D., Skillicorn, D., Ubaudi, F., Al-Oqaily, A. (2008). Integrative Visual Data Mining of Biomedical Data: Investigating Cases in Chronic Fatigue Syndrome and Acute Lymphoblastic Leukaemia. In Simoff & Böhlen (Eds.), Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, (pp. 367-388). USA: Springer. [More Information]
  • Catchpoole, D., Guo, D., Jiang, H., Biesheuvel, C. (2008). Predicting outcome in childhood acute lymphoblastic leukemia using gene expression profiling: prognostication or protocol selection? Blood, 111(4), 2486-7; author reply 2487-8. [More Information]

2007

  • Whiteford, C., Bilke, S., Greer, B., Chen, Q., Braunschweig, T., Cenacchi, N., Wei, J., Smith, M., Houghton, P., Morton, C., Catchpoole, D., et al (2007). Credentialing preclinical pediatric xenograft models using gene expression and tissue microarray analysis. Cancer Research, 67(1), 32-40. [More Information]
  • Catchpoole, D., Lail, A., Guo, D., Chen, Q., Khan, J. (2007). Gene expression profiles that segregate patients with childhood acute lymphoblastic leukaemia: An independent validation study identifies that endoglin associates with patient outcome. Leukemia Research: clinical and laboratory studies, 31(12), 1741-1747. [More Information]
  • Catchpoole, D., deFazio, A., Devereaux, L., Hof, M., Schmidt, C., Thorne, H., Zeps, N., Fleming, M. (2007). The importance of biorepository networks: The Australasian Biospecimen Network-Oncology. Australian Journal of Medical Science, 28(1), 16-20.

2006

  • Stallings, R., Nair, P., Maris, J., Catchpoole, D., McDermott, M., O'Meara, A., Breatnach, F. (2006). High-resolution analysis of chromosomal breakpoints and genomic instability identifies PTPRD as a candidate tumor suppressor gene in neuroblastoma. Cancer Research, 66(7), 3673-3680. [More Information]

2005

  • Astuti, D., Latif, F., Wagner, K., Gentle, D., Cooper, W., Catchpoole, D., Grundy, R., Ferguson-Smith, A., Maher, E. (2005). Epigenetic alteration at the DLK1-GTL2 imprinted domain in human neoplasia: analysis of neuroblastoma, phaeochromocytoma and Wilms' tumour. British Journal of Cancer, 92(8), 1574-1580. [More Information]
  • Margetts, C., Astuti, D., Gentle, D., Cooper, W., Cascon, A., Catchpoole, D., Robledo, M., Neumann, H., Latif, F., Maher, E. (2005). Epigenetic analysis of HIC1, CASP8, FLIP, TSP1, DCR1, DCR2, DR4, DR5, KvDMR1, H19 and preferential 11p15.5 maternal-allele loss in von Hippel-Lindau and sporadic phaeochromocytomas. Endocrine-Related Cancer, 12(1), 161-172. [More Information]
  • Bilke, S., Chen, Q., Westermann, F., Schwab, M., Catchpoole, D., Khan, J. (2005). Inferring a tumor progression model for neuroblastoma from genomic data. Journal of Clinical Oncology, 23(29), 7322-7331. [More Information]

2004

  • Chen, Q., Bilke, S., Wei, J., Whiteford, C., Cenacchi, N., Krasnoselsky, A., Greer, B., Son, C., Westermann, F., Berthold, F., Catchpoole, D., et al (2004). cDNA Array-CGH Profiling Identifies Genomic Alterations Specific To Stage And Mycn-Amplification In Neuroblastoma. BMC Genomics, 5(1), 70-82. [More Information]
  • Stallings, R., Carty, P., McArdle, L., Mullarkey, M., McDermott, M., O'Meara, N., Ryan, E., Catchpoole, D., Breatnach, F. (2004). Evolution Of Unbalanced Gain Of Distal Chromosome 2P In Neuroblastoma. Cytogenetic and Genome Research, 106(1), 49-54. [More Information]
  • Kennedy, P., Simoff, S., Skillicorn, D., Catchpoole, D. (2004). Extracting And Explaining Biological Knowledge In Microarray Data. 8th Pacific-Asia Conference, PAKDD 2004, Berlin: Springer. [More Information]

2003

  • O'Neill, G., Catchpoole, D., Golemis, E. (2003). From correlation to causality: microarrays, cancer, and cancer treatment. BioTechniques, 34, S64-S71.
  • Guo, D., Catchpoole, D. (2003). Isolation of intact RNA following cryosection of archived frozen tissue. BioTechniques, 34(1), 48-50.

Selected Grants

2012

  • Fluidigm BioMark HD - HX, Alexander I, Byrne J, Catchpoole D, Chircop (nee Fabbro) M, Jamieson R, Reddel R, Tam P, Robinson P, Bryan T, Diefenbach R, National Health and Medical Research Council (NHMRC)/Equipment Grant

2010

  • ION TORRENT PERSONAL GENOME MACHINE (PGM)., North K, Alexander I, Alexander S, Christodoulou J, Catchpoole D, Clarke N, National Health and Medical Research Council (NHMRC)/Equipment Grant

In the media

https://www.youtube.com/watch?v=mPXJYWQNgBI