AIMC Topic: Single-Cell Analysis

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Computational assignment of cell-cycle stage from single-cell transcriptome data.

Methods (San Diego, Calif.)
The transcriptome of single cells can reveal important information about cellular states and heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has facilitated expression profiling of large numbers of single cells in para...

Computer vision for image-based transcriptomics.

Methods (San Diego, Calif.)
Single-cell transcriptomics has recently emerged as one of the most promising tools for understanding the diversity of the transcriptome among single cells. Image-based transcriptomics is unique compared to other methods as it does not require conver...

Printing 2-dimentional droplet array for single-cell reverse transcription quantitative PCR assay with a microfluidic robot.

Scientific reports
This paper describes a nanoliter droplet array-based single-cell reverse transcription quantitative PCR (RT-qPCR) assay method for quantifying gene expression in individual cells. By sequentially printing nanoliter-scale droplets on microchip using a...

Identification and Validation of Phagocytosis-Regulating Factors as Potential Prognostic and Diagnostic Biomarkers for Intracerebral Hemorrhage Through Single-Cell and Bulk Transcriptomic.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Intracerebral hemorrhage (ICH) is a major cause of death and disability worldwide. Despite treatment advances, reliable prognostic biomarkers are still lacking. While phagocytosis regulation is implicated in ICH pathogenesis, its potential for diagno...

Key RNA-binding proteins in renal fibrosis: a comprehensive bioinformatics and machine learning framework for diagnostic and therapeutic insights.

Renal failure
BACKGROUND: Renal fibrosis is a critical factor in chronic kidney disease progression, with limited diagnostic and therapeutic options. Emerging evidence suggests RNA-binding proteins (RBPs) are pivotal in regulating cellular mechanisms underlying fi...

Decoding Dendritic Cell Subtypes via Integrated Radiogenomics: A Stacked Ensemble Model for Predicting Immunotherapy Response in NSCLC.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
We pioneer a multimodal framework integrating single-cell RNA sequencing (scRNA-seq), radiomics, and deep learning to decipher dendritic cell (DC)-mediated mechanisms underlying anti-PD-1 response in non-small cell lung cancer (NSCLC). Single-cell RN...

Identification of immune-relevant candidate genes in atherosclerosis by WGCNA and single-cell analysis.

Medicine
Atherosclerosis (AS) is a systemic disease closely related to inflammatory cell infiltration and immune cell activation, often leading to myocardial infarction and stroke and is the leading cause of death worldwide. AS is asymptomatic in its early st...

Real-Time Eco-AI, Electrophoresis-Correlative Data-Dependent Acquisition with AI-Based Data Processing Broadens Access to Single-Cell Mass Spectrometry Proteomics.

Angewandte Chemie (International ed. in English)
Single-cell mass spectrometry (MS) offers unprecedented sensitivity for profiling cellular proteomes, yet widespread adoption is hindered by the cost of advanced instrumentation. Here, we broaden access to single-cell proteomics by combining capillar...

AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity.

Cancer discovery
UNLABELLED: Identifying functionally important cell states and structure within heterogeneous tumors remains a significant biological and computational challenge. Current clustering- or trajectory-based models are ill-equipped to address the notion t...

Transcriptomic and single-cell insights into mitochondrial genes NDUFA8, ECI2, and ACADM in acute myocardial infarction.

Gene
Mitochondrial function plays a crucial role in understanding the pathogenesis of acute myocardial infarction.This study investigates mitochondrial function-related genes (MFRGs) in acute myocardial infarction (AMI) through bioinformatics and rigorous...