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In-organoid single-cell CRISPR screening reveals determinants of hepatocyte differentiation and maturation
BackgroundHarnessing hepatocytes for basic research and regenerative medicine demands a complete understanding of the genetic determinants underlying...
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A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening
Clustered regularly interspaced short palindromic repeats (CRISPR) screening coupled with single-cell RNA sequencing has emerged as a powerful tool...
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Enhancing Single-Cell Trajectory Inference and Microbial Data Intelligence
The utilization of single-cell trajectory inference methods to deduce cell differentiation trajectories from single-cell transcriptomic or proteomic...
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VIBRANT: spectral profiling for single-cell drug responses
High-content cell profiling has proven invaluable for single-cell phenoty** in response to chemical perturbations. However, methods with improved...
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The potential molecular markers of inflammatory response in KOA with AD based on single-cell transcriptome sequencing analysis and identification of ligands by virtual screening
Alzheimer's disease (AD) and osteoarthritis (OA) are both senile degenerative diseases. Clinical studies have found that OA patients have a...
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Multiparametric quantitative phase imaging for real-time, single cell, drug screening in breast cancer
Quantitative phase imaging (QPI) measures the growth rate of individual cells by quantifying changes in mass versus time. Here, we use the breast...
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scSNV-seq: high-throughput phenoty** of single nucleotide variants by coupled single-cell genoty** and transcriptomics
CRISPR screens with single-cell transcriptomic readouts are a valuable tool to understand the effect of genetic perturbations including single...
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High-Efficiency Single-Cell Electrical Impedance Spectroscopy
Single-cell impedance measurement is label free and noninvasive in characterizing the electrical properties of single cells. At present, though...
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Plant Single-Cell/Nucleus RNA-seq Workflow
Single-cell transcriptomics technologies allow researchers to investigate how individual cells, in complex multicellular organisms, differentially...
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Stress-free single-cell transcriptomic profiling and functional genomics of murine eosinophils
Eosinophils are a class of granulocytes with pleiotropic functions in homeostasis and various human diseases. Nevertheless, they are absent from...
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Single-Cell Analysis Approaches in Cartilage Diseases Diagnosis and Therapies
Substantial evidence shows that major breakthrough toward cartilage therapeutic approaches is largely hampered by the low chondrocytes yield along...
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hcHCR: High-Throughput Single-Cell Imaging of RNA in Human Primary Immune Cells
Functional genomics and chemical screens can identify and characterize novel cellular factors regulating signaling networks and chemical tools to...
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ShapeMetrics: A 3D Cell Segmentation Pipeline for Single-Cell Spatial Morphometric Analysis
There is a growing need for single-cell level data analysis in correlation with the advancements of microscopy techniques. Morphology-based...
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Cell Features Reconstruction from Gene Association Network of Single Cell
Gene expression as an unstable form of cell characterization has been widely used for single-cell analyses. Although there are cell-specific networks...
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Single-cell RNA sequencing of cervical exfoliated cells reveals potential biomarkers and cellular pathogenesis in cervical carcinogenesis
Cervical cancer (CC) is a common gynecological malignancy. Despite the current screening methods have been proved effectively and significantly...
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Unveiling the role of HIST2H2AC in stroke through single-cell and transcriptome analysis
Stroke is a leading cause of death and disability, and genetic risk factors play a significant role in its development. Unfortunately, effective...
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DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection
BackgroundSingle-cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing...
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Single-cell transcriptomics: background, technologies, applications, and challenges
Single-cell sequencing was developed as a high-throughput tool to elucidate unusual and transient cell states that are barely visible in the bulk....
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Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, Ca2+ imaging and electrophysiology
I review recent technological advancements in coupling single-cell transcriptomics with cellular phenotypes including morphology, calcium signaling,...
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Reproductive Carrier Screening
People carry varying burden of genetic diseases, like recessive disorders. Therefore, the disease alleles they carry and their potential to pass them...