Titlebook: RNA Detection; Methods and Protocol Imre Gaspar Book 2018 Springer Science+Business Media LLC 2018 Drosophila.ECHO-liveFISH.FISH.RCas9.FISS

BROTH

Identifying the m6A Methylome by Affinity Purification and Sequencing,tor. Recent research has uncovered insight into the location and function of m.A sites on a large scale, in part due to the transcriptome-wide identification of m.A sites by high-throughput sequencing (m.A-seq). Here, we present a protocol for m.A-seq, which maps the m.A methylome by affinity purification and sequencing.

Humble

LCM-Seq: A Method for Spatial Transcriptomic Profiling Using Laser Capture Microdissection Coupled thod utilizes off-the-shelf reagents and direct lysis of the cells without RNA purification, making it a simple and relatively cheap method with high reproducibility and sensitivity compared to previous methods. The advantage with LCM-seq is also that tissue sections are kept intact and thus the positional information of each cell is preserved.

CYN

Detection of mRNA and Associated Molecules by ISH-IEM on Frozen Sections, and gold conjugates form the core of the in situ hybridization (ISH)-immunoelectron microscopy (IEM) method that we have developed and successfully used to detect endogenous . and . mRNAs in . oocytes.

preservative

In Vivo Visualization and Function Probing of Transport mRNPs Using Injected FIT Probes,netically nonmodified loci. Here, we describe the design, synthesis and injection of nuclease resistant FIT probes into developing . oocytes to detect endogenous localizing mRNAs as wells as to probe function of structural RNA elements.

駁船

978-1-4939-8418-3Springer Science+Business Media LLC 2018

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Modify

Onerous

https://doi.org/10.1007/978-1-4939-7213-5Drosophila; ECHO-liveFISH; FISH; RCas9; FISSEQ

Flatter

Imre GasparIncludes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts

大吃大喝

Spatial Transcriptomics: Constructing a Single-Cell Resolution Transcriptome-Wide Expression Atlas,st can be obtained by performing a series of ISH experiments, followed by a process of image registration and gene expression averaging. Using the overlapping fraction of the genes, concomitantly obtained scRNAseq data can be fitted into the spatial context of the gene expression atlas, complementing the coverage by genes.