Forrest, Alistair R.R.
The University of Western Australia · Harry Perkins Institute of Medical Research · Queen Elizabeth II Medical Centre
21 papers on CoChatORCID 0000-0003-4543-1675
Most cited papers
- Verified
An atlas of active enhancers across human cell types and tissues
The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature
Genomics and Chromatin DynamicsCancer-related molecular mechanisms research
Cited by 2,550
- Verified
Genome-wide analysis of mammalian promoter architecture and evolution
Carninci, P., Sandelin, A., Lenhard, B., Katayama, S., Shimokawa, K., Ponjavic, J., Semple, C. A. M., Taylor, M. S., Engström, P. G., Frith, M. C., et al. (2006) · Nature Genetics
Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies
Cited by 1,350
- Verified
Stem cell transcriptome profiling via massive-scale mRNA sequencing
Cloonan, N., Forrest, A. R. R., Kolle, G., Gardiner, B. B. A., Faulkner, G. J., Brown, M. K., Taylor, D. F., Steptoe, A. L., Wani, S., Bethel, G., et al. (2008) · Nature Methods
Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics
Cited by 1,035
- Verified
An atlas of human long non-coding RNAs with accurate 5′ ends
Hon, C.-C., Ramilowski, J. A., Harshbarger, J., Bertin, N., Rackham, O. J. L., Gough, J., Denisenko, E., Schmeier, S., Poulsen, T. M., Severin, J., et al. (2017) · Nature
Cancer-related molecular mechanisms researchGenomics and Chromatin Dynamics
Cited by 1,007
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A draft network of ligand–receptor-mediated multicellular signalling in human
Ramilowski, J. A., Goldberg, T., Harshbarger, J., Kloppmann, E., Lizio, M., Satagopam, V. P., Itoh, M., Kawaji, H., Carninci, P., Rost, B., et al. (2015) · Nature Communications
Bioinformatics and Genomic NetworksGene Regulatory Network Analysis
Cited by 887
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Gateways to the FANTOM5 promoter level mammalian expression atlas
Lizio, M., Harshbarger, J., Shimoji, H., Severin, J., Kasukawa, T., Sahin, S., Abugessaisa, I., Fukuda, S., Hori, F., Ishikawa-Kato, S., et al. (2015) · Genome Biology
Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies
Cited by 871
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An atlas of combinatorial transcriptional regulation in mouse and man
Ravasi, T., Suzuki, H., Cannistraci, C. V., Katayama, S., Bajic, V. B., Tan, K., Akalin, A., Schmeier, S., Kanamori-Katayama, M., Bertin, N., et al. (2010) · Cell
Genomics and Chromatin DynamicsGene Regulatory Network Analysis
Cited by 715
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Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
Denisenko, E., Guo, B. B., Jones, M., Hou, R., de Kock, L., Lassmann, T., Poppe, D., Clément, O., Simmons, R. K., Lister, R., et al. (2020) · Genome Biology
Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies
Cited by 686
- Verified · note
Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows
Denisenko, E., Guo, B. B., Jones, M., Hou, R., de Kock, L., Lassmann, T., Poppe, D., Clement, O., Simmons, R. K., Lister, R., et al. (2019) · Genome biology
Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies
Cited by 686
- Verified
An integrated expression atlas of miRNAs and their promoters in human and mouse
The FANTOM Consortium, de Rie, D., Abugessaisa, I., Alam, T., Arner, E., Arner, P., Ashoor, H., Åström, G., Babina, M., Bertin, N., et al. (2017) · Nature Biotechnology
MicroRNA in disease regulationGenomics and Chromatin Dynamics
Cited by 561
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FANTOM5 CAGE profiles of human and mouse samples
Noguchi, S., Arakawa, T., Fukuda, S., Furuno, M., Hasegawa, A., Hori, F., Ishikawa-Kato, S., Kaida, K., Kaiho, A., Kanamori-Katayama, M., et al. (2017) · Scientific Data
Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies
Cited by 310
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The miR-17-5p microRNA is a key regulator of the G1/S phase cell cycle transition
Cloonan, N., Brown, M. K., Steptoe, A. L., Wani, S., Chan, W. L., Forrest, A. R., Kolle, G., Gabrielli, B., & Grimmond, S. M. (2008) · Genome Biology
MicroRNA in disease regulationCancer-related Molecular Pathways
Cited by 304
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Predicting cell-to-cell communication networks using NATMI
Hou, R., Denisenko, E., Ong, H. T., Ramilowski, J. A., & Forrest, A. R. R. (2020) · Nature Communications
Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks
Cited by 285
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scMatch: a single-cell gene expression profile annotation tool using reference datasets
Hou, R., Denisenko, E., & Forrest, A. R. R. (2019) · Bioinformatics
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 130
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Comparison of CAGE and RNA-seq transcriptome profiling using clonally amplified and single-molecule next-generation sequencing
Kawaji, H., Lizio, M., Itoh, M., Kanamori-Katayama, M., Kaiho, A., Nishiyori-Sueki, H., Shin, J. W., Kojima-Ishiyama, M., Kawano, M., Murata, M., et al. (2014) · Genome Research
Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics
Cited by 109
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CAGE profiling of ncRNAs in hepatocellular carcinoma reveals widespread activation of retroviral LTR promoters in virus-induced tumors
Hashimoto, K., Suzuki, A. M., Dos Santos, A., Desterke, C., Collino, A., Ghisletti, S., Braun, E., Bonetti, A., Fort, A., Qin, X.-Y., et al. (2015) · Genome Research
Cancer-related molecular mechanisms researchGenomics and Chromatin Dynamics
Cited by 64
- Verified
The statistical geometry of transcriptome divergence in cell-type evolution and cancer
Liang, C., the FANTOM Consortium, Forrest, A. R. R., & Wagner, G. P. (2015) · Nature Communications
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 59
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A transient disruption of fibroblastic transcriptional regulatory network facilitates trans-differentiation
Tomaru, Y., Hasegawa, R., Suzuki, T., Sato, T., Kubosaki, A., Suzuki, M., Kawaji, H., Forrest, A. R. R., Hayashizaki, Y., FANTOM Consortium, et al. (2014) · Nucleic Acids Research
Pluripotent Stem Cells ResearchGene Regulatory Network Analysis
Cited by 39
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Therapeutic blockade of ER stress and inflammation prevents NASH and progression to HCC
Boslem, E., Reibe, S., Carlessi, R., Smeuninx, B., Tegegne, S., Egan, C. L., McLennan, E., Terry, L. V., Nobis, M., Mu, A., et al. (2023) · Science Advances
Liver Disease Diagnosis and TreatmentLiver physiology and pathology
Cited by 39
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The combination of gene perturbation assay and ChIP-chip reveals functional direct target genes for IRF8 in THP-1 cells
Kubosaki, A., Lindgren, G., Tagami, M., Simon, C., Tomaru, Y., Miura, H., Suzuki, T., Arner, E., Forrest, A. R. R., Irvine, K. M., et al. (2010) · Molecular Immunology
interferon and immune responsesGenomics and Chromatin Dynamics
Cited by 29
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Regulatory interdependence of myeloid transcription factors revealed by Matrix RNAi analysis
Tomaru, Y., Simon, C., Forrest, A. R., Miura, H., Kubosaki, A., Hayashizaki, Y., & Suzuki, M. (2009) · Genome biology
Gene Regulatory Network AnalysisGenomics and Chromatin Dynamics
Cited by 21
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