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13:42
RNA Secondary Structure Prediction Using High-throughput SHAPE
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Cited by 16 •
2013
High-throughput selective 2' hydroxyl acylation analyzed by primer extension (SHAPE) utilizes a novel chemical probing technology, reverse transcription, capillary electrophoresis and secondary structure prediction software to determine the structures of RNAs from several hundred to several thousand nucleotides at single nucleotide resolution.
07:55
Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
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Cited by 3 •
2011
A straight-forward and robust method to identify potential regulatory motifs in co-regulated genes is presented. SCOPE does not require any user parameters and returns motifs that represent excellent candidates for regulatory signals. The identification of such regulatory signals helps to understand the underlying biology.
10:59
Use of Label-free Optical Biosensors to Detect Modulation of Potassium Channels by G-protein Coupled Receptors
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Cited by 5 •
2014
Optical biosensor techniques can detect changes in mass near the plasma membrane in living cells and allow one to follow cellular responses in both individual cells and populations of cells. This protocol will describe detection of the modulation of potassium channels by G-protein coupled receptors in intact cells using this approach.
11:33
V3 Stain-free Workflow for a Practical, Convenient, and Reliable Total Protein Loading Control in Western Blotting
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Cited by 53 •
2013
V3 workflow is a western blot procedure using stain-free gels. The stain-free technology allows researchers to visualize protein separation quality, to verify the transfer efficiency, and most importantly, to validate the change in the protein of interest using total protein quantification as a reliable loading control.
05:05
Lattice Light Sheet Microscopy to Visualize Receptor-Ligand Interactions in Live Cells
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2025
In this video, we describe the lattice light-sheet microscopy technique to visualize interactions between live T-cells and antigen-presenting cells. The method involves focusing an ultrathin lattice light sheet on an interacting cell pair to obtain a series of two-dimensional images, which are combined to obtain high-resolution four-dimensional images that reveal the spatiotemporal dynamics of the cell-cell interaction.
FAQs
A reliable match combines several clues rather than relying on a single visual feature. Researchers consider the section’s position in the series, tissue orientation, anatomical landmarks, and visible structures such as stained cell layers. Agreement among these characteristics helps identify the intended section and reduces the risk of comparing neighboring or differently oriented tissue regions.
Section order provides a spatial sequence, while orientation indicates how the tissue was positioned during observation. If either is misinterpreted, corresponding structures may be mistaken for different regions or placed in the wrong anatomical relationship. Preserving both factors allows researchers to follow tissue organization across serial sections and select genuinely comparable locations.
Image comparison allows researchers to evaluate whether visible landmarks and tissue features correspond across slides. They can examine the arrangement of structures, stained layers, and overall orientation to support a consistent match. This approach is especially useful when adjacent sections look similar, because comparing multiple features provides stronger evidence than judging one isolated cell layer or structure.
A basic workflow begins by reviewing the slide series and establishing section order. Researchers then inspect tissue orientation and identify anatomical landmarks or distinctive stained features. They compare candidate images, select regions with matching characteristics, and document the chosen sections for later analysis. This systematic sequence promotes consistency when tracing structures or comparing samples.
The approach is useful whenever interpretation depends on identifying comparable tissue regions across microscope slides. In histology and pathology, it supports consistent examination of tissue organization and stained structures. In anatomy and neuroscience, it helps align serial sections and trace structures through a sample, making observations easier to compare and document across the study.
Accurate identification helps researchers connect observations from separate microscope slides to the same anatomical or tissue context. By selecting comparable regions and tracing structures across sections, they can describe organization more consistently and document findings with greater confidence. This alignment also supports interpretation of how microscopic structure relates to biological function within the examined sample.