E
Elena Denisenko
Researcher at Massey University
Publications - 21
Citations - 1526
Elena Denisenko is an academic researcher from Massey University. The author has contributed to research in topics: Enhancer & Transcriptional regulation. The author has an hindex of 9, co-authored 17 publications receiving 905 citations. Previous affiliations of Elena Denisenko include Harry Perkins Institute of Medical Research & University of Western Australia.
Papers
More filters
Journal ArticleDOI
An atlas of human long non-coding RNAs with accurate 5′ ends
Chung-Chau Hon,Jordan A. Ramilowski,Jayson Harshbarger,Nicolas Bertin,Nicolas Bertin,Owen J. L. Rackham,Owen J. L. Rackham,Julian Gough,Elena Denisenko,Sebastian Schmeier,Thomas M. Poulsen,Jessica Severin,Marina Lizio,Hideya Kawaji,Takeya Kasukawa,Masayoshi Itoh,A. Maxwell Burroughs,Shohei Noma,Sarah Djebali,Sarah Djebali,Tanvir Alam,Yulia A. Medvedeva,Alison C. Testa,Leonard Lipovich,Chi Wai Yip,Imad Abugessaisa,Mickal Mendez,Akira Hasegawa,Dave Tang,Timo Lassmann,Peter Heutink,Magda Babina,Christine A. Wells,Christine A. Wells,Soichi Kojima,Yukio Nakamura,Harukazu Suzuki,Carsten O. Daub,Michiel J. L. de Hoon,Erik Arner,Yoshihide Hayashizaki,Piero Carninci,Alistair R. R. Forrest +42 more
TL;DR: This work integrates multiple transcript collections to generate a comprehensive atlas of 27,919 human lncRNA genes with high-confidence 5′ ends and expression profiles across 1,829 samples from the major human primary cell types and tissues, identifying 19,175 potentially functional lncRNAs in the human genome.
Journal ArticleDOI
Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
Elena Denisenko,Belinda B. Guo,Matthew Jones,Rui Hou,Leanne de Kock,Timo Lassmann,Daniel Poppe,Daniel Poppe,Olivier Clément,Rebecca K. Simmons,Rebecca K. Simmons,Ryan Lister,Ryan Lister,Alistair R. R. Forrest +13 more
TL;DR: Systematic comparison of recovered cell types and their transcriptional profiles across the workflows has highlighted protocol-specific biases and thus enables researchers starting single-cell experiments to make an informed choice.
Posted ContentDOI
Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
Elena Denisenko,Belinda B. Guo,Matthew Jones,Rui Hou,Leanne de Kock,Timo Lassmann,Daniel Poppe,Daniel Poppe,Olivier Clément,Rebecca K. Simmons,Rebecca K. Simmons,Ryan Lister,Ryan Lister,Alistair R. R. Forrest +13 more
TL;DR: This study compares performance of several workflows applied to adult mouse kidneys and highlights protocol-specific biases important for the experimental design and data interpretation of single-cell and single-nucleus RNA sequencing.
Journal ArticleDOI
Predicting cell-to-cell communication networks using NATMI
TL;DR: Analysis of the Tabula Muris (organism-wide) atlas confirms the previous prediction that autocrine signalling is a major feature of cell-to-cell communication networks, while also revealing that hundreds of ligands and their cognate receptors are co-expressed in individual cells suggesting a substantial potential for self-signalling.
Journal ArticleDOI
scMatch: a single-cell gene expression profile annotation tool using reference datasets.
TL;DR: It is found that scMatch can rapidly and robustly annotate single cells with comparable accuracy to another recent cell annotation tool (SingleR), but that it is quicker and can handle larger reference datasets.