Literature DB >> 25734068

Combinatorial analysis of mRNA expression patterns in mouse embryos using hybridization chain reaction.

David Huss1, Harry M T Choi2, Carol Readhead3, Scott E Fraser4, Niles A Pierce5, Rusty Lansford1.   

Abstract

Multiplexed fluorescent hybridization chain reaction (HCR) and advanced imaging techniques can be used to evaluate combinatorial gene expression patterns in whole mouse embryos with unprecedented spatial resolution. Using HCR, DNA probes complementary to mRNA targets trigger chain reactions in which metastable fluorophore-labeled DNA HCR hairpins self-assemble into tethered fluorescent amplification polymers. Each target mRNA is detected by a probe set containing one or more DNA probes, with each probe carrying two HCR initiators. For multiplexed experiments, probe sets for different target mRNAs carry orthogonal initiators that trigger orthogonal DNA HCR amplification cascades labeled by spectrally distinct fluorophores. As a result, in situ amplification is performed for all targets simultaneously, and the duration of the experiment is independent of the number of target mRNAs. We have used multiplexed fluorescent in situ HCR and advanced imaging technologies to address questions of cell heterogeneity and tissue complexity in craniofacial patterning and anterior neural development. In the sample protocol presented here, we detect three different mRNA targets: Tg(egfp), encoding the enhanced green fluorescent protein (GFP) transgene (typically used as a control); Twist1, encoding a transcription factor involved in cell lineage determination and differentiation; and Pax2, encoding a transcription factor expressed in the mid-hindbrain region of the mouse embryo.
© 2015 Cold Spring Harbor Laboratory Press.

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Year:  2015        PMID: 25734068     DOI: 10.1101/pdb.prot083832

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  8 in total

1.  A modified protocol for the detection of three different mRNAs with a new-generation in situ hybridization chain reaction on frozen sections.

Authors:  Qian-Qian Sui; Jiao Zhu; Xiangnan Li; Gillian E Knight; Cheng He; Geoffrey Burnstock; Hongbin Yuan; Zhenghua Xiang
Journal:  J Mol Histol       Date:  2016-10-08       Impact factor: 2.611

2.  Mapping a multiplexed zoo of mRNA expression.

Authors:  Harry M T Choi; Colby R Calvert; Naeem Husain; David Huss; Julius C Barsi; Benjamin E Deverman; Ryan C Hunter; Mihoko Kato; S Melanie Lee; Anna C T Abelin; Adam Z Rosenthal; Omar S Akbari; Yuwei Li; Bruce A Hay; Paul W Sternberg; Paul H Patterson; Eric H Davidson; Sarkis K Mazmanian; David A Prober; Matt van de Rijn; Jared R Leadbetter; Dianne K Newman; Carol Readhead; Marianne E Bronner; Barbara Wold; Rusty Lansford; Tatjana Sauka-Spengler; Scott E Fraser; Niles A Pierce
Journal:  Development       Date:  2016-10-01       Impact factor: 6.868

3.  Reprogrammable Gel Electrophoresis Detection Assay Using CRISPR-Cas12a and Hybridization Chain Reaction.

Authors:  Mahera J Kachwala; Christopher W Smith; Nidhi Nandu; Mehmet V Yigit
Journal:  Anal Chem       Date:  2021-01-06       Impact factor: 6.986

4.  Use of Hybridization Chain Reaction-Fluorescent In Situ Hybridization To Track Gene Expression by Both Partners during Initiation of Symbiosis.

Authors:  K Nikolakakis; E Lehnert; M J McFall-Ngai; E G Ruby
Journal:  Appl Environ Microbiol       Date:  2015-05-08       Impact factor: 4.792

Review 5.  "Second-generation" fluorogenic RNA-based sensors.

Authors:  Aruni P K K Karunanayake Mudiyanselage; Rigumula Wu; Mark A Leon-Duque; Kewei Ren; Mingxu You
Journal:  Methods       Date:  2019-01-17       Impact factor: 3.608

Review 6.  Multidisciplinary approaches to understanding collective cell migration in developmental biology.

Authors:  Linus J Schumacher; Paul M Kulesa; Rebecca McLennan; Ruth E Baker; Philip K Maini
Journal:  Open Biol       Date:  2016-06       Impact factor: 6.411

7.  Automated cell-type classification in intact tissues by single-cell molecular profiling.

Authors:  Monica Nagendran; Daniel P Riordan; Pehr B Harbury; Tushar J Desai
Journal:  Elife       Date:  2018-01-10       Impact factor: 8.140

8.  A deep learning approach for staging embryonic tissue isolates with small data.

Authors:  Adam Joseph Ronald Pond; Seongwon Hwang; Berta Verd; Benjamin Steventon
Journal:  PLoS One       Date:  2021-01-08       Impact factor: 3.240

  8 in total

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