Establishment of a simplified preparation method for single-nucleus RNA-sequencing and its application to long-term frozen tumor tissues
暂无分享,去创建一个
David T. W. Jones | M. Boutros | S. Pfister | M. Zuckermann | K. Okonechnikov | A. Wittmann | K. Maass | S. Leible | J. Bageritz | K. Ernst | Jan-Philipp Mallm | Marc Zuckermann
[1] David T. W. Jones,et al. The Power of Human Cancer Genetics as Revealed by Low-Grade Gliomas. , 2019, Annual review of genetics.
[2] Mariella G. Filbin,et al. Mitogenic and progenitor gene programmes in single pilocytic astrocytoma cells , 2019, Nature Communications.
[3] Mariella G. Filbin,et al. An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma , 2019, Cell.
[4] Mariella G. Filbin,et al. Developmental origins and emerging therapeutic opportunities for childhood cancer , 2019, Nature Medicine.
[5] Philip Lijnzaad,et al. CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing , 2019, bioRxiv.
[6] Trygve E Bakken,et al. Single-nucleus and single-cell transcriptomes compared in matched cortical cell types , 2018, PloS one.
[7] David T. W. Jones,et al. A biobank of patient-derived pediatric brain tumor models , 2018, Nature Medicine.
[8] Sören Müller,et al. CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones , 2018, Bioinform..
[9] Peter J Park,et al. Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data , 2018, Genome research.
[10] Tracy T Batchelor,et al. Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq , 2018, Science.
[11] Paul Hoffman,et al. Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.
[12] Peng Hu,et al. Dissecting Cell-Type Composition and Activity-Dependent Transcriptional State in Mammalian Brains by Massively Parallel Single-Nucleus RNA-Seq. , 2017, Molecular cell.
[13] Hannah A. Pliner,et al. Reversed graph embedding resolves complex single-cell trajectories , 2017, Nature Methods.
[14] Aviv Regev,et al. Massively-parallel single nucleus RNA-seq with DroNc-seq , 2017, Nature Methods.
[15] S. Linnarsson,et al. A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA , 2017, Scientific Reports.
[16] David T. W. Jones,et al. Pediatric Gliomas: Current Concepts on Diagnosis, Biology, and Clinical Management. , 2017, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[17] Lilah Toker,et al. Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with Applications to Interpretation of Bulk Tissue Data , 2016, eNeuro.
[18] P. Kharchenko,et al. Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain , 2017, Nature Biotechnology.
[19] S. Pfister,et al. Molecular mechanisms and therapeutic targets in pediatric brain tumors , 2017, Science Signaling.
[20] Mariella G. Filbin,et al. Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq , 2017, Science.
[21] Aaron T. L. Lun,et al. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R , 2017, Bioinform..
[22] Mariella G. Filbin,et al. Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma , 2016, Nature.
[23] Roland Eils,et al. Recurrent MET fusion genes represent a drug target in pediatric glioblastoma , 2016, Nature Medicine.
[24] Cynthia C. Hession,et al. Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons , 2016, Science.
[25] Grace X. Y. Zheng,et al. Massively parallel digital transcriptional profiling of single cells , 2016, Nature Communications.
[26] M. Ronaghi,et al. Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain , 2016, Science.
[27] David T. W. Jones,et al. Pediatric high-grade glioma: biologically and clinically in need of new thinking , 2016, Neuro-oncology.
[28] J. Mesirov,et al. The Molecular Signatures Database Hallmark Gene Set Collection , 2015 .
[29] S. Quake,et al. A survey of human brain transcriptome diversity at the single cell level , 2015, Proceedings of the National Academy of Sciences.
[30] Evan Z. Macosko,et al. Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets , 2015, Cell.
[31] J. Partridge,et al. Histone H3 mutations—a special role for H3.3 in tumorigenesis? , 2015, Chromosoma.
[32] T. Maniatis,et al. An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex , 2014, The Journal of Neuroscience.
[33] Samuel Bernard,et al. Neurogenesis in the Striatum of the Adult Human Brain , 2014, Cell.
[34] F. Gage,et al. RNA-sequencing from single nuclei , 2013, Proceedings of the National Academy of Sciences.
[35] Roland Eils,et al. Recurrent somatic alterations of FGFR1 and NTRK2 in pilocytic astrocytoma , 2013, Nature Genetics.
[36] Wei Shi,et al. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features , 2013, Bioinform..
[37] Ratan D. Bhardwaj,et al. Retrospective Birth Dating of Cells in Humans , 2005, Cell.
[38] J. Bageritz,et al. Single-Cell RNA Sequencing with Drop-Seq. , 2019, Methods in molecular biology.
[39] J. Mesirov,et al. The Molecular Signatures Database (MSigDB) hallmark gene set collection. , 2015, Cell systems.
[40] Thomas R. Gingeras,et al. STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..