Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nicholas A, Matigian"'
Autor:
Arti M. Raghubar, Nicholas A. Matigian, Joanna Crawford, Leo Francis, Robert Ellis, Helen G. Healy, Andrew J. Kassianos, Monica S. Y. Ng, Matthew J. Roberts, Simon Wood, Andrew J. Mallett
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-9 (2023)
Abstract Perioperative immune checkpoint inhibitor (ICI) trials for intermediate high-risk clear cell renal cell carcinoma (ccRCC) have failed to consistently demonstrate improved patient outcomes. These unsuccessful ICI trials suggest that the tumou
Externí odkaz:
https://doaj.org/article/61bde8200489472a9c91dfe298700bf9
Autor:
Arti M. Raghubar, Duy T. Pham, Xiao Tan, Laura F. Grice, Joanna Crawford, Pui Yeng Lam, Stacey B. Andersen, Sohye Yoon, Siok Min Teoh, Nicholas A. Matigian, Anne Stewart, Leo Francis, Monica S. Y. Ng, Helen G. Healy, Alexander N. Combes, Andrew J. Kassianos, Quan Nguyen, Andrew J. Mallett
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Available transcriptomes of the mammalian kidney provide limited information on the spatial interplay between different functional nephron structures due to the required dissociation of tissue with traditional transcriptome-based methodologies. A dee
Externí odkaz:
https://doaj.org/article/f9f48ceb22244753811383cd23084a84
Autor:
Alejandra M. Vitale, Nicholas A. Matigian, Alexandre S. Cristino, Katia Nones, Sugandha Ravishankar, Bernadette Bellette, Yongjun Fan, Stephen A. Wood, Ernst Wolvetang, Alan Mackay-Sim
Publikováno v:
npj Schizophrenia, Vol 3, Iss 1, Pp 1-11 (2017)
Epigenetics: A genome-wide picture in patient-derived cells Schizophrenia-associated differences in the DNA methylation status of patient-derived cells suggest it could affect early brain development. Mechanisms that control gene expression without a
Externí odkaz:
https://doaj.org/article/5b0cc3f9768c4ac98732fd625650c1cb
Autor:
Jennifer S Y, Li, Arti M, Raghubar, Nicholas A, Matigian, Monica S Y, Ng, Natasha M, Rogers, Andrew J, Mallett
Publikováno v:
Transplantation.
Spatial transcriptomics (ST) measures and maps transcripts within intact tissue sections, allowing the visualization of gene activity within the spatial organization of complex biological systems. This review outlines advances in genomic sequencing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad34a6d81121abeb9788fb59a25958d7
https://doi.org/10.1097/tp.0000000000004466
https://doi.org/10.1097/tp.0000000000004466
Autor:
Jessica C Mar, Nicholas A Matigian, Alan Mackay-Sim, George D Mellick, Carolyn M Sue, Peter A Silburn, John J McGrath, John Quackenbush, Christine A Wells
Publikováno v:
PLoS Genetics, Vol 7, Iss 8, p e1002207 (2011)
Gene expression analysis has become a ubiquitous tool for studying a wide range of human diseases. In a typical analysis we compare distinct phenotypic groups and attempt to identify genes that are, on average, significantly different between them. H
Externí odkaz:
https://doaj.org/article/d395fe920dea45c3963bc5f098a5e07a
Publikováno v:
PLoS ONE, Vol 6, Iss 10, p e25445 (2011)
attract is a knowledge-driven analytical approach for identifying and annotating the gene-sets that best discriminate between cell phenotypes. attract finds distinguishing patterns within pathways, decomposes pathways into meta-genes representative o
Externí odkaz:
https://doaj.org/article/f46afb1e6518481eaae714cbc606c7f3
Autor:
Greg T Sutherland, Nicholas A Matigian, Alistair M Chalk, Matthew J Anderson, Peter A Silburn, Alan Mackay-Sim, Christine A Wells, George D Mellick
Publikováno v:
PLoS ONE, Vol 4, Iss 3, p e4955 (2009)
The study of Parkinson's disease (PD), like other complex neurodegenerative disorders, is limited by access to brain tissue from patients with a confirmed diagnosis. Alternatively the study of peripheral tissues may offer some insight into the molecu
Externí odkaz:
https://doaj.org/article/375fd398b1ec4d06a8fa69cc921bba73
Autor:
Nicholas A Matigian, Richard D McCurdy, François Féron, Christopher Perry, Heather Smith, Cheryl Filippich, Duncan McLean, John McGrath, Alan Mackay-Sim, Bryan Mowry, Nicholas K Hayward
Publikováno v:
PLoS ONE, Vol 3, Iss 6, p e2412 (2008)
Lymphoblastoid cell lines (LCLs) and fibroblasts provide conveniently derived non-neuronal samples in which to investigate the aetiology of schizophrenia (SZ) using gene expression profiling. This assumes that heritable mechanisms associated with ris
Externí odkaz:
https://doaj.org/article/69e5970e1f774f52a4ff51b0ff08bd8c