Sean M. Grimmond

ORCID: 0000-0002-8102-7998
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Pancreatic and Hepatic Oncology Research
  • RNA modifications and cancer
  • Epigenetics and DNA Methylation
  • RNA and protein synthesis mechanisms
  • Renal and related cancers
  • RNA Research and Splicing
  • Cancer, Hypoxia, and Metabolism
  • CRISPR and Genetic Engineering
  • Neuroendocrine Tumor Research Advances
  • Angiogenesis and VEGF in Cancer
  • Pluripotent Stem Cells Research
  • Genomics and Phylogenetic Studies
  • Cancer-related molecular mechanisms research
  • Genomics and Chromatin Dynamics
  • Renal cell carcinoma treatment
  • Ovarian cancer diagnosis and treatment
  • Genetic factors in colorectal cancer
  • MicroRNA in disease regulation
  • Cancer Cells and Metastasis
  • Cancer Research and Treatments
  • Genomics and Rare Diseases
  • Lung Cancer Treatments and Mutations
  • Molecular Biology Techniques and Applications
  • Ubiquitin and proteasome pathways

The University of Melbourne
2016-2025

Victorian Comprehensive Cancer Centre
2017-2024

The University of Queensland
2010-2022

Westmead Institute for Medical Research
2018

Roche (Switzerland)
2018

AstraZeneca (Brazil)
2018

Queens University
2018

University of Glasgow
2013-2017

QIMR Berghofer Medical Research Institute
1994-2015

Royal Women's Hospital
2015

10.1038/nature14169 article EN Nature 2015-02-24
Thomas J. Hudson Warwick P. Anderson Axel Aretz Anna D. Barker Cindy Bell and 95 more Rosa R. Bernabé M. K. Bhan Fabien Calvo Iiro Eerola Daniela S. Gerhard Alan F. Guttmacher Mark S. Guyer Fiona M. Hemsley Jennifer L. Jennings David Kerr Peter Klatt Patrik Kolar Jun Kusuda David P. Lane Frank Laplace Youyong Lu Gerd Nettekoven Brad Ozenberger Jane L. Peterson T. S. Rao Jacques Remacle Alan J. Schafer Tatsuhiro Shibata Michael R. Stratton Joseph G. Vockley Koichi Watanabe Huanming Yang M.M.F. Yuen Bartha Maria Knoppers Martin Bobrow Anne Cambon‐Thomsen Lynn G. Dressler Stephanie O. M. Dyke Yann Joly Yoshihiro Kato Karen L. Kennedy Pilar Nicolás Michael Parker Emmanuelle Rial‐Sebbag Carlos M. Romeo-Casabona Kenna M. Shaw Susan Wallace Georgia L. Wiesner Nikolajs Zeps Peter Lichter Andrew V. Biankin Christian Chabannon Lynda Chin Bruno Clément Enrique de Álava Françoise Degos Martin L. Ferguson Peter Geary D. Neil Hayes Amber L. Johns Arek Kasprzyk Hidewaki Nakagawa Robert Penny Miguel Á. Piris Rajiv Sarin Aldo Scarpa Marc J. van de Vijver P. Andrew Futreal Hiroyuki Aburatani Mónica Bayés David D.L. Bowtell Peter J. Campbel Xavier Estivill Sean M. Grimmond Ivo Gut Martin Hirst Carlos López‐Otín Partha Majumder Marco A. Marra John D. McPherson Zemin Ning Xosé S. Puente Yijun Ruan H.G. Stunnenberg Harold Swerdlow Victor E. Velculescu Richard K. Wilson Hong Xue Liu Yang Paul T. Spellman Gary D. Bader Paul C. Boutros Paul Flicek Gad Getz Roderic Guigó Guangwu Guo David Haussler Simon Heath Tim Hubbard Tao Jiang

10.1038/nature08987 article EN Nature 2010-04-13
Yasushi Okazaki Masaaki Furuno Takeya Kasukawa Jun Adachi Hidemasa Bono and 95 more Shinji Kondo Itoshi Nikaido Naoki Osato Rintaro Saito Harukazu Suzuki Itaru Yamanaka Hidenori Kiyosawa Ken Yagi Yuji Tomaru Yuki Hasegawa A Nogami Christian Schönbach Takashi Gojobori Richard M. Baldarelli David P. Hill Carol J. Bult David Hume John Quackenbush Lynn M. Schriml Alexander Kanapin Hideo Matsuda Serge Batalov Kirk W. Beisel Judith A. Blake Dirck Bradt Vladimir Brusić C. Chothia Lori E Corbani Sharon Cousins Emiliano Dalla Tommaso A. Dragani Colin Fletcher Alistair R. R. Forrest Kenneth S. Frazer Terry Gaasterland Manuela Gariboldi Carmela Gissi Adam Godzik Julian Gough Sean M. Grimmond Stefano Gustincich Nobutaka Hirokawa Ian J. Jackson Erich D. Jarvis Akio Kanai Hideya Kawaji Yuka Imamura Kawasawa Rafal M. Kedzierski Benjamin L. King Akihiko Konagaya Igor V. Kurochkin Yong Suk Lee Boris Lenhard Paul Lyons Donna Maglott Lois J. Maltais Luigi Marchionni Louise M. McKenzie Hiromi Miki Takeshi Nagashima Koji Numata Toshihisa Okido William J. Pavan Geo Pertea Graziano Pesole Nikolai Petrovsky Rekha Sukamar Pillai Joan Pontius Qi Dong Sridhar Ramachandran Timothy Ravasi James Reed Deborah J. Reed James F. Reid Brian Z. Ring Martin Ringwald Albin Sandelin C. Schneider Colin A. Semple Mitsutoshi Setou Kiyo Shimada Răzvan Sultana Yasuhiro Takenaka Martin S. Taylor Rohan D. Teasdale Masaru Tomita Roberto Verardo Lukas Wagner Claes Wahlestedt Yan Wang Yuka Watanabe Christine A. Wells Laurens Wilming Anthony Wynshaw‐Boris Masashi Yanagisawa

Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There an international collaborative effort to identify all full-length mRNA transcripts from mouse, and ensure that each represented in physical collection clones. Here we report manual annotation 60,770 complementary DNA sequences. These are clustered 33,409 'transcriptional units', contributing 90.1% newly established transcriptome database. Of these transcriptional units, 4,258 new...

10.1038/nature01266 article EN public-domain Nature 2002-12-01

The transcriptional networks that regulate embryonic stem (ES) cell pluripotency and lineage specification are the subject of considerable attention. To date such studies have focused almost exclusively on protein-coding transcripts. However, recent transcriptome analyses show mammalian genome contains thousands long noncoding RNAs (ncRNAs), many which appear to be expressed in a developmentally regulated manner. functions these remain untested. identify ncRNAs involved ES biology, we used...

10.1101/gr.078378.108 article EN cc-by-nc Genome Research 2008-06-18

We evaluated 25 protocol variants of 14 independent computational methods for exon identification, transcript reconstruction and expression-level quantification from RNA-seq data. Our results show that most algorithms are able to identify discrete components with high success rates but assembly complete isoform structures poses a major challenge even when all constituent elements identified. Expression-level estimates also varied widely across methods, based on similar models. Consequently,...

10.1038/nmeth.2714 article EN cc-by-nc-sa Nature Methods 2013-11-03

Recent large-scale analyses of mainly full-length cDNA libraries generated from a variety mouse tissues indicated that almost half all representative cloned sequences did not contain an apparent protein-coding sequence, and were putatively derived non-protein-coding RNA (ncRNA) genes. However, many these clones singletons the majority unspliced, raising possibility they may be genomic DNA or unprocessed pre-mRNA contamination during library construction, alternatively represent nonspecific...

10.1101/gr.4200206 article EN cc-by-nc Genome Research 2005-12-12
Harukazu Suzuki Alistair R. R. Forrest Erik van Nimwegen Carsten O. Daub Piotr J. Balwierz and 95 more Katharine M. Irvine Timo Lassmann Timothy Ravasi Yuki Hasegawa Michiel de Hoon Shintaro Katayama Kate Schroder Piero Carninci Yasuhiro Tomaru Mutsumi Kanamori-Katayama Atsutaka Kubosaki Altuna Akalin Yoshinari Ando Erik Arner Maki Asada Hiroshi Asahara Timothy L. Bailey Vladimir B. Bajić Denis C. Bauer Anthony G Beckhouse Nicolas Bertin Johan Björkegren Frank Brombacher Erika Bulger Alistair M. Chalk Joe Chiba Nicole Cloonan Adam Dawe Josée Dostie Pär G. Engström Magbubah Essack Geoffrey J. Faulkner J. Lynn Fink David Fredman Ko Fujimori Masaaki Furuno Takashi Gojobori Julian Gough Sean M. Grimmond Mika Gustafsson Megumi Hashimoto Takehiro Hashimoto Mariko Hatakeyama Susanne Heinzel Yoshihide Hayashizaki Oliver Hofmann Michael Hörnquist Łukasz Huminiecki Kazuho Ikeo Naoko Imamoto Satoshi Inoue Yusuke Inoue Ryoko Ishihara Takao Iwayanagi Anders J. Skanderup Mandeep Kaur Hideya Kawaji Markus C. Kerr Ryuichiro Kimura Syuhei Kimura Yasumasa Kimura Hiroaki Kitano Hisashi Koga Toshio Kojima Shinji Kondo T. Konno Anders Krogh Adéle Kruger Ajit Kumar Boris Lenhard Andreas Lennartsson Morten Lindow Marina Lizio Cameron Ross MacPherson Norihiro Maeda Christopher A. Maher Monique Maqungo Jessica C. Mar Nicholas Matigian Hideo Matsuda John S. Mattick Stuart Meier Sei Miyamoto Etsuko Miyamoto‐Sato Kazuhiko Nakabayashi Yutaka Nakachi Mika Nakano Sanne Nygaard Toshitsugu Okayama Yasushi Okazaki Haruka Okuda-Yabukami Valerio Orlando Jun Otomo Mikhail Pachkov Nikolai Petrovsky

10.1038/ng.375 article EN Nature Genetics 2009-04-19

The Protein Interaction Network Analysis (PINA) platform is a comprehensive web resource, which includes database of unified protein–protein interaction data integrated from six manually curated public databases, and set built-in tools for network construction, filtering, analysis visualization. second version PINA enhances its utility studies protein interactions at level, by including multiple collections modules identified different clustering approaches the whole ('interactome') model...

10.1093/nar/gkr967 article EN Nucleic Acids Research 2011-11-08

Abstract Background Variants of microRNAs (miRNAs), called isomiRs, are commonly reported in deep-sequencing studies; however, the functional significance these variants remains controversial. Observational studies show that isomiR patterns non-random, hinting molecules could be regulated and therefore functional, although no conclusive biological role has been demonstrated for molecules. Results To assess relevance we have performed ultra-deep miRNA-seq on ten adult human tissues, created...

10.1186/gb-2011-12-12-r126 article EN cc-by Genome biology 2011-12-30

Abstract Background MicroRNAs are modifiers of gene expression, acting to reduce translation through either translational repression or mRNA cleavage. Recently, it has been shown that some microRNAs can act promote suppress cell transformation, with miR-17-92 described as the first oncogenic microRNA. The association encoded a surprisingly broad range cancers not only underlines clinical significance this locus, but also suggests may regulate fundamental biological processes, and for these...

10.1186/gb-2008-9-8-r127 article EN cc-by Genome biology 2008-08-14

Abstract As whole-genome sequencing for cancer genome analysis becomes a clinical tool, full understanding of the variables affecting output is required. Here using tumour-normal sample pairs from two different types cancer, chronic lymphocytic leukaemia and medulloblastoma, we conduct benchmarking exercise within context International Cancer Genome Consortium. We compare methods, pipelines validation methods. show that PCR-free methods increasing depth to ∼100 × shows benefits, as long...

10.1038/ncomms10001 article EN cc-by Nature Communications 2015-12-09

Evolutionary change in gene expression is generally considered to be a major driver of phenotypic differences between species. We investigated innate immune diversification by analyzing interspecies the transcriptional responses primary human and mouse macrophages Toll-like receptor (TLR)–4 agonist lipopolysaccharide (LPS). By using custom platform permitting cross-species interrogation coupled with deep sequencing mRNA 5′ ends, we identified extensive divergence LPS-regulated orthologous...

10.1073/pnas.1110156109 article EN Proceedings of the National Academy of Sciences 2012-03-26

Oesophageal adenocarcinoma (EAC) incidence is rapidly increasing in Western countries. A better understanding of EAC underpins efforts to improve early detection and treatment outcomes. While large exome sequencing date have found recurrent loss-of-function mutations, oncogenic driving events been underrepresented. Here we use a combination whole-genome (WGS) single-nucleotide polymorphism-array profiling show that genomic catastrophes are frequent EAC, with almost third (32%, n=40/123)...

10.1038/ncomms6224 article EN cc-by Nature Communications 2014-10-29

Personalized medicine strategies using genomic profiling are particularly pertinent for pancreas cancer. The Individualized Molecular Pancreatic Cancer Therapy (IMPaCT) trial was initially designed to exploit results from genome sequencing of pancreatic cancer under the auspices International Genome Consortium (ICGC) in Australia. Sequencing revealed small subsets patients with aberrations their tumor that could be targeted currently available therapies.

10.1158/1078-0432.ccr-15-0426 article EN Clinical Cancer Research 2015-04-21
Claire Vennin Pauline Mélénec Romain Rouet Max Nobis Aurélie Cazet and 95 more Kendelle J. Murphy David Herrmann Daniel A. Reed Morghan C. Lucas Sean Warren Zehra Elgundi Mark Pinese Gabriella Kalna Daniel Roden Monisha Samuel Anaiis Zaratzian Shane T. Grey Andrew Da Silva Wilfred Leung Amber L. Johns Lorraine A. Chantrill Angela Chou Angela Steinmann Mehreen Arshi Tanya Dwarte Danielle Froio Brooke A. Pereira Shona Ritchie Cecilia R Chambers Xanthe Metcalf Nicola Waddell John V. Pearson Ann-Marie Patch Katia Nones Felicity Newell Pamela Mukhopadhyay Venkateswar Addala Stephen H. Kazakoff Oliver Holmes Conrad Leonard Scott Wood Sean M. Grimmond Oliver Hofmann Angelika N. Christ Timothy J. C. Bruxner Jaswinder S. Samra Nick Pavlakis Hilda High Ray Asghari Neil D. Merrett Darren Pavey Amitabha Das Peter H. Cosman Kasim Ismail Chelsie O’Connnor Alina Stoita David M. Williams Allan Spigellman Vincent Lam Duncan McLeod Judy Kirk James G. Kench Peter Grimison Caroline Cooper Charbel Sandroussi Annabel Goodwin R. Scott Mead Katherine Tucker Lesley Andrews Michael Texler Cindy Forest Krishna Epari Mo Ballal David Fletcher Sanjay Mukhedkar Nikolajs Zeps Maria Beilin Kynan Feeney Nan Q. Nguyen Andrew Ruszkiewicz Chris Worthley John Chen Mark E. Brooke‐Smith Virginia Papangelis Andrew D. Clouston Andrew P. Barbour Thomas O’Rourke Jonathan W. Fawcett Kellee Slater Michael Hatzifotis Peter Hodgkinson Mehrdad Nikfarjam James R. Eshleman Ralph H. Hruban Christopher L. Wolfgang Rita T. Lawlor Stefania Beghelli Vincenzo Corbo Maria Scardoni Claudio Bassi

Abstract Heterogeneous subtypes of cancer-associated fibroblasts (CAFs) coexist within pancreatic cancer tissues and can both promote restrain disease progression. Here, we interrogate how cells harboring distinct alterations in p53 manipulate CAFs. We reveal the existence a p53-driven hierarchy, where with gain-of-function (GOF) mutant educate dominant population CAFs that establish pro-metastatic environment for GOF null alike. also demonstrate educated by may be reprogrammed either or...

10.1038/s41467-019-10968-6 article EN cc-by Nature Communications 2019-08-12
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