Machine learning for multi-omics data integration in cancer
Multi-omics data analysis is an important aspect of cancer molecular biology studies and
has led to ground-breaking discoveries. Many efforts have been made to develop machine …
has led to ground-breaking discoveries. Many efforts have been made to develop machine …
Profiling cell identity and tissue architecture with single-cell and spatial transcriptomics
Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …
Transfer learning enables predictions in network biology
Mapping gene networks requires large amounts of transcriptomic data to learn the
connections between genes, which impedes discoveries in settings with limited data …
connections between genes, which impedes discoveries in settings with limited data …
Exposure of iPSC-derived human microglia to brain substrates enables the generation and manipulation of diverse transcriptional states in vitro
Microglia, the macrophages of the brain parenchyma, are key players in neurodegenerative
diseases such as Alzheimer's disease. These cells adopt distinct transcriptional subtypes …
diseases such as Alzheimer's disease. These cells adopt distinct transcriptional subtypes …
Cellular and transcriptional dynamics of human neutrophils at steady state and upon stress
E Montaldo, E Lusito, V Bianchessi, N Caronni… - Nature …, 2022 - nature.com
Traditionally viewed as poorly plastic, neutrophils are now recognized as functionally
diverse; however, the extent and determinants of neutrophil heterogeneity in humans remain …
diverse; however, the extent and determinants of neutrophil heterogeneity in humans remain …
Modeling idiopathic autism in forebrain organoids reveals an imbalance of excitatory cortical neuron subtypes during early neurogenesis
Idiopathic autism spectrum disorder (ASD) is highly heterogeneous, and it remains unclear
how convergent biological processes in affected individuals may give rise to symptoms …
how convergent biological processes in affected individuals may give rise to symptoms …
Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer
Chemotherapy resistance is a critical contributor to cancer mortality and thus an urgent
unmet challenge in oncology. To characterize chemotherapy resistance processes in high …
unmet challenge in oncology. To characterize chemotherapy resistance processes in high …
An RNA-targeting CRISPR–Cas13d system alleviates disease-related phenotypes in Huntington's disease models
KH Morelli, Q Wu, ML Gosztyla, H Liu, M Yao… - Nature …, 2023 - nature.com
Huntington's disease (HD) is a fatal, dominantly inherited neurodegenerative disorder
caused by CAG trinucleotide expansion in exon 1 of the huntingtin (HTT) gene. Since the …
caused by CAG trinucleotide expansion in exon 1 of the huntingtin (HTT) gene. Since the …
Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials
Abstract Characterization and integration of the genome, epigenome, transcriptome,
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …
proteome and metabolome of different datasets is difficult owing to a lack of ground truth …
scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
We present a statistical simulator, scDesign3, to generate realistic single-cell and spatial
omics data, including various cell states, experimental designs and feature modalities, by …
omics data, including various cell states, experimental designs and feature modalities, by …