New fluorescence method reveals signatures of individual microbes

Researchers have developed a new method that reveals the unique fluorescence patterns produced by individual cells in mixtures of bacteria, yeast and fungi. They combined confocal microscopy with micro-spectroscopy to determine the fluorescence signatures from different types of microbes. They trained machine learning systems to analyze the images and identify different individual cells and cell-types automatically, even those with very similar shapes and sizes.

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Scientists create brain-mimicking environment to grow 3D tissue models of brain tumors

Researchers have developed 3-dimensional human tissue culture models of pediatric and adult brain cancers in a brain-mimicking microenvironment, that includes brain-derived extracellular matrix (ECM) — the complex network of proteins and amino acids with bound sugars that not only provides support for surrounding neural tissue, but also helps to guide cell growth and development. The development represents a significant advancement for the study of brain tumor biology and pharmacological response.

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New method to purify cell types to high purity

Current biology research relies on the ability to purify cell types using antibodies or transgenic constructs. However, antibody availability is often limited, and genetic manipulation is labor intensive or sometimes impossible. To date, no universal method exists to enrich for cell types without a priori knowledge of cell type markers. Here, we propose GateID, a computational method that combines single-cell transcriptomics with FACS index sorting to purify cell types using only native cellular properties.

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New biofabrication method creates one scaffold to guide regeneration of multiple tissues

Scientists have taken a major step to address the challenge of engineer tissues organized like native tissues. They have demonstrated a new method to fabricate scaffolds presenting spatially organized cues to control cell behavior locally within one material.

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Nanoparticles wiggling through mucus may predict severe COPD

In a proof-of-concept experiment, researchers say they have successfully used microscopic human-made particles to predict the severity of patients' chronic obstructive pulmonary disease (COPD) by measuring how quickly the particles move through mucus samples. The technique, say the researchers, could eventually help doctors deliver more effective treatments sooner.

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