AIMC Topic: Single-Cell Analysis

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Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning.

eLife
Diabetes affects >10% of adults worldwide and is caused by impaired production or response to insulin, resulting in chronic hyperglycemia. Pancreatic islet β-cells are the sole source of endogenous insulin, and our understanding of β-cell dysfunction...

Single-cell RNA sequencing identifies CD8Teff cell activation as a predictive biomarker in triple-negative breast cancer immunotherapy.

Molecular biomedicine
Immunotherapy has emerged as a promising treatment option for triple-negative breast cancer (TNBC); however, the pronounced heterogeneity of the tumor immune microenvironment significantly hinders the prediction of therapeutic efficacy, with effectiv...

Learning the cellular origins across cancers using single-cell chromatin landscapes.

Nature communications
Deciphering the pre-malignant cell of origin (COO) of different cancers is critical for understanding tumor development and improving diagnostic and therapeutic strategies in oncology. Prior work demonstrates that somatic mutations preferentially acc...

Mapping neutrophil fate and function in ischemic stroke: A single-cell roadmap for translational insights.

Biochemical and biophysical research communications
BACKGROUND: Ischemic stroke (IS) accounts for 71 % of all strokes, whose diagnosis and prognosis require further exploration. Neutrophil extracellular traps (NETs) are produced by neutrophils, and there is already evidence that NETs play a role in IS...

Single-cell Raman imaging reveals fructose impairs brown adipocyte differentiation.

Biosensors & bioelectronics
Brown adipose tissue (BAT) plays a pivotal role in energy expenditure and metabolic health, yet the influence of specific sugars like fructose on brown adipocyte development remains poorly understood. Here, we employ high-speed line-illumination Rama...

Rapid label-free identification of seven bacterial species using microfluidics, single-cell time-lapse phase-contrast microscopy, and deep learning-based image and video classification.

PloS one
For effective treatment of bacterial infections, it is essential to identify the species causing the infection as early as possible. Current methods typically require hours of overnight culturing of a bacterial sample and a larger quantity of cells t...

Multi-level validation of high expression of PLAUR, FOSL2, and SLC11A1 in aortic dissection and their clinical implications.

International immunopharmacology
Macrophages, pivotal orchestrators of the immune system, are integral to the initiation of specific immune responses and exert profound influence on the pathogenesis, progression, and therapeutic landscape of aortic dissection (AD). Leveraging the pr...

Single-cell sequencing analysis and multiple machine learning methods identified immune-associated SERPINB1 and CPEB4 as novel biomarkers for COVID-19-induced ARDS.

Die Naturwissenschaften
Acute respiratory distress syndrome (ARDS) is a life-threatening complication of COVID-19, often resulting in respiratory failure and high mortality. Identifying effective molecular biomarkers is crucial for understanding its pathogenesis and improvi...