Results 101 to 110 of about 731,457 (305)
Virtual Environment for Next Generation Sequencing Analysis [PDF]
, 2012 Next Generation Sequencing technology, on the one hand, allows a more accurate analysis, and, on the other hand, increases the amount of data to process.
Provenzano, R. +6 more
core
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Single-Cell RNA Sequencing in Organ and Cell Transplantation
BiosensorsSingle-cell RNA sequencing is a high-throughput novel method that provides transcriptional profiling of individual cells within biological samples.
Roozbeh Abedini-Nassab +3 more
doaj +1 more source
Simulating multiple faceted variability in single cell RNA sequencing
Nature Communications, 2019 Simulated single cell RNA sequencing data is useful for method development and comparison. Here, the authors developed SymSim, a simulator that explicitly models the main factors of variation in single cell data.
Xiuwei Zhang, Chenling Xu, Nir Yosef
doaj +1 more source
Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Experimental Considerations for Single-Cell RNA Sequencing Approaches
Frontiers in Cell and Developmental Biology, 2018 Single-cell transcriptomic technologies have emerged as powerful tools to explore cellular heterogeneity at the resolution of individual cells. Previous scientific knowledge in cell biology is largely limited to data generated by bulk profiling methods ...
Quy H. Nguyen +3 more
doaj +1 more source
Single-cell ATAC sequencing analysis: From data preprocessing to hypothesis generation
Computational and Structural Biotechnology Journal, 2020 Most genetic variations associated with human complex traits are located in non-coding genomic regions. Therefore, understanding the genotype-to-phenotype axis requires a comprehensive catalog of functional non-coding genomic elements, most of which are ...
Seungbyn Baek, Insuk Lee
doaj +1 more source
Single-cell RNA sequencing methods discussed in this review.
Single-cell RNA sequencing methods discussed in this review.
Alistair B. Russell (11820364) +1 more
core +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
, 2020 Single-cell RNA-sequencing technologies are ideally placed to resolve intratumoral heterogeneity. However, the lack of coverage across key mutation hotspots has precluded the correlation of genetic and transcriptional readouts from the same single cell ...
Mead, Adam +3 more
core +1 more source