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Magnetic Isolation and Concentration (MagIC)

Kartavya Desk Staff

Source: TH

Context: A new technique called Magnetic Isolation and Concentration (MagIC) has enabled cryo-electron microscopy (cryo-EM) to analyse samples 100 times more dilute than earlier.

About Magnetic Isolation and Concentration (MagIC):

What is MagIC? MagIC stands for Magnetic Isolation and Concentration – a novel enhancement to cryo-electron microscopy (Cryo-EM). It enables the imaging of ultra-dilute biological samples—100 times more dilute than what was previously possible.

MagIC stands for Magnetic Isolation and Concentration – a novel enhancement to cryo-electron microscopy (Cryo-EM).

• It enables the imaging of ultra-dilute biological samples—100 times more dilute than what was previously possible.

How It Works? Tagging: Molecules of interest are bound to magnetic beads (about 50 nm in size). Magnetic Clustering: A magnet is used to pull and cluster these bead-bound molecules into dense regions on the cryo-EM Image Capture: The concentrated clusters allow more usable particles per image, making detection feasible even at <0.0005 mg/ml DuSTER Algorithm: An AI-based tool filters out background noise by selecting only those particles that are consistently detected across multiple imaging passes.

Tagging: Molecules of interest are bound to magnetic beads (about 50 nm in size).

Magnetic Clustering: A magnet is used to pull and cluster these bead-bound molecules into dense regions on the cryo-EM

Image Capture: The concentrated clusters allow more usable particles per image, making detection feasible even at <0.0005 mg/ml

DuSTER Algorithm: An AI-based tool filters out background noise by selecting only those particles that are consistently detected across multiple imaging passes.

About Cryo-Electron Microscopy (Cryo-EM):

What is Cryo-EM? A revolutionary imaging technique that captures 3D structures of biomolecules at near-atomic resolution. It involves rapid freezing (vitrification) of samples and imaging them using electron beams.

• A revolutionary imaging technique that captures 3D structures of biomolecules at near-atomic resolution.

• It involves rapid freezing (vitrification) of samples and imaging them using electron beams.

Developed by: Initially developed in the 1980s. Recent advancements in hardware and image-processing algorithms earned the 2017 Nobel Prize in Chemistry (awarded to Dubochet, Frank, and Henderson).

• Initially developed in the 1980s.

• Recent advancements in hardware and image-processing algorithms earned the 2017 Nobel Prize in Chemistry (awarded to Dubochet, Frank, and Henderson).

Working Principle: Sample Preparation: Protein solutions are rapidly frozen using cryogenic liquids (e.g. ethane) into amorphous ice to preserve natural structures. Imaging: Electron beams pass through the frozen sample producing multiple 2D projections. Data Processing: Computational software reconstructs a 3D density map from thousands of 2D particle images. Structure Modelling: Final atomic-level models are fitted into this density for biological insights.

Sample Preparation: Protein solutions are rapidly frozen using cryogenic liquids (e.g. ethane) into amorphous ice to preserve natural structures.

Imaging: Electron beams pass through the frozen sample producing multiple 2D projections.

Data Processing: Computational software reconstructs a 3D density map from thousands of 2D particle images.

Structure Modelling: Final atomic-level models are fitted into this density for biological insights.

Applications of Cryo-EM: Structural Biology: Mapping large, flexible macromolecules like ribosomes, ion channels. Virology: Revealing virus capsids (e.g. SARS-CoV-2 spike protein). Cell Biology: Imaging cell organelles, cytoskeletons, mitotic spindles. Neurobiology: Understanding synaptic vesicles and neuronal signalling. Drug Discovery: Designing inhibitors by visualizing protein-ligand binding sites. Molecular Biology: Visualizing RNA polymerases, ribosomes, and translation complexes.

Structural Biology: Mapping large, flexible macromolecules like ribosomes, ion channels.

Virology: Revealing virus capsids (e.g. SARS-CoV-2 spike protein).

Cell Biology: Imaging cell organelles, cytoskeletons, mitotic spindles.

Neurobiology: Understanding synaptic vesicles and neuronal signalling.

Drug Discovery: Designing inhibitors by visualizing protein-ligand binding sites.

Molecular Biology: Visualizing RNA polymerases, ribosomes, and translation complexes.

AI-assisted content, editorially reviewed by Kartavya Desk Staff.

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