Rnase T1
Rnase T1 - Related Videos
06:48
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
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2019
This protocol describes the process of applying seven different automated segmentation tools to structural T1-weighted MRI scans to delineate grey matter regions that can be used for the quantification of grey matter volume.
10:51
Fluorescence Based Primer Extension Technique to Determine Transcriptional Starting Points and Cleavage Sites of RNases In Vivo
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Cited by 17 •
2014
We here describe a fluorescence based primer extension method to determine transcriptional starting points from bacterial transcripts and RNA processing in vivo using an automated gel sequencer.
12:03
Protocols for C-Brick DNA Standard Assembly Using Cpf1
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Cited by 4 •
2017
CRISPR-associated protein Cpf1 can be guided by a specially designed CRISPR RNA (crRNA) to cleave double-stranded DNA at desired sites, generating sticky ends. Based on this characteristic, a DNA assembly standard (C-Brick) was established, and a protocol detailing its use is described here.
08:00
Whole-Mount In Situ Hybridization
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2023
Whole-mount in situ hybridization (WMISH) is a common technique used for visualizing the location of expressed RNAs in embryos. In this process, synthetically produced RNA probes are first complementarily bound, or "hybridized," to the transcripts of target genes. Immunohistochemistry or fluorescence is then used to detect these RNA hybrids, revealing spatial and temporal patterns of gene expression. Unlike traditional in situ hybridization techniques, which require thin tissue sections whose...
09:59
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
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Cited by 17 •
2017
A protocol for stroke onset time estimation in a rat model of stroke exploiting quantitative magnetic resonance imaging (qMRI) parameters is described. The procedure exploits diffusion MRI for delineation of the acute stroke lesion and quantitative T1 and T2 (qT1 and qT2) relaxation times for timing of stroke.
FAQs
Its substrate preference directs cleavage to phosphodiester bonds on the 3′ side of guanosine. This specificity produces fragments whose boundaries reflect guanosine positions rather than random sites throughout the RNA. Consequently, researchers can use the resulting pattern to connect particular sequence features with structural observations and to identify guanosine-containing regions in an RNA molecule.
Cleavage proceeds through transesterification, first generating a 2′,3′-cyclic phosphate at the newly formed RNA end. That intermediate can subsequently convert into a 3′-phosphate end. Recognizing these products matters when interpreting digestion products, because the chemical nature of fragment termini is part of the information produced by the reaction.
A digestion pattern reports which guanosine-containing sites yield fragments under the tested conditions. When folding or an interaction changes the accessibility of those regions, the observed cleavage pattern can provide evidence that RNA conformation or binding affects them. RNase T1 therefore helps relate local sequence positions to structural organization and RNA interactions.
Researchers examine the sizes and positions of fragments generated from the RNA. Because cleavage is associated with guanosine residues, the fragment pattern can help map guanosine-containing regions and support RNA fingerprinting or sequencing workflows. The predictable site preference makes the digestion pattern more informative than a nonspecific breakdown of the RNA.
A typical workflow applies RNase T1 digestion to an RNA sample, then examines the resulting smaller fragments to determine their positions or pattern. The fragments can be used for sequence-related mapping, structural probing, or fingerprinting. The central planning step is matching the enzyme's guanosine specificity with the RNA feature being investigated.
It is useful when researchers need to connect RNA sequence with structure or function. Applications include mapping guanosine-containing regions, probing RNA folding and interactions, generating defined fragments, and supporting sequencing or fingerprinting workflows. In genetics, these uses provide a way to investigate RNA molecules as structured, functional products of genetic information.