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Tytuł pozycji:

Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH.

Tytuł:
Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH.
Autorzy:
Mistry RM; GCC Center for Advanced Microscopy and Image Informatics; Department of Molecular and Cellular Biology, Baylor College of Medicine.
Singh PK; GCC Center for Advanced Microscopy and Image Informatics; Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University.
Mancini MG; GCC Center for Advanced Microscopy and Image Informatics; Department of Molecular and Cellular Biology, Baylor College of Medicine.
Stossi F; GCC Center for Advanced Microscopy and Image Informatics; Department of Molecular and Cellular Biology, Baylor College of Medicine; .
Mancini MA; GCC Center for Advanced Microscopy and Image Informatics; Department of Molecular and Cellular Biology, Baylor College of Medicine; Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University; Department of Pharmacology and Chemical Biology, Baylor College of Medicine.
Źródło:
Journal of visualized experiments : JoVE [J Vis Exp] 2020 Sep 20 (163). Date of Electronic Publication: 2020 Sep 20.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Video-Audio Media
Język:
English
Imprint Name(s):
Original Publication: [Boston, Mass. : MYJoVE Corporation, 2006]-
MeSH Terms:
Alleles*
In Situ Hybridization, Fluorescence*
Transcription, Genetic*
Single-Cell Analysis/*methods
Oligonucleotide Probes/genetics ; RNA, Messenger/genetics
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Grant Information:
P30 CA125123 United States CA NCI NIH HHS; P30 DK056338 United States DK NIDDK NIH HHS; P42 ES027704 United States ES NIEHS NIH HHS
Substance Nomenclature:
0 (Oligonucleotide Probes)
0 (RNA, Messenger)
Entry Date(s):
Date Created: 20201005 Date Completed: 20201204 Latest Revision: 20211028
Update Code:
20240105
PubMed Central ID:
PMC8549401
DOI:
10.3791/61680
PMID:
33016938
Czasopismo naukowe
Gene transcription is an essential process in cell biology, and allows cells to interpret and respond to internal and external cues. Traditional bulk population methods (Northern blot, PCR, and RNAseq) that measure mRNA levels lack the ability to provide information on cell-to-cell variation in responses. Precise single cell and allelic visualization and quantification is possible via single molecule RNA fluorescence in situ hybridization (smFISH). RNA-FISH is performed by hybridizing target RNAs with labeled oligonucleotide probes. These can be imaged in medium/high throughput modalities, and, through image analysis pipelines, provide quantitative data on both mature and nascent RNAs, all at the single cell level. The fixation, permeabilization, hybridization and imaging steps have been optimized in the lab over many years using the model system described herein, which results in successful and robust single cell analysis of smFISH labeling. The main goal with sample preparation and processing is to produce high quality images characterized by a high signal-to-noise ratio to reduce false positives and provide data that are more accurate. Here, we present a protocol describing the pipeline from sample preparation to data analysis in conjunction with suggestions and optimization steps to tailor to specific samples.

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