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Items: 5

1.

A genome-wide assessment of the ancestral neural crest gene regulatory network.

Hockman D, Chong-Morrison V, Green SA, Gavriouchkina D, Candido-Ferreira I, Ling ITC, Williams RM, Amemiya CT, Smith JJ, Bronner ME, Sauka-Spengler T.

Nat Commun. 2019 Oct 16;10(1):4689. doi: 10.1038/s41467-019-12687-4.

2.

From Pioneer to Repressor: Bimodal foxd3 Activity Dynamically Remodels Neural Crest Regulatory Landscape In Vivo.

Lukoseviciute M, Gavriouchkina D, Williams RM, Hochgreb-Hagele T, Senanayake U, Chong-Morrison V, Thongjuea S, Repapi E, Mead A, Sauka-Spengler T.

Dev Cell. 2018 Dec 3;47(5):608-628.e6. doi: 10.1016/j.devcel.2018.11.009.

3.

Biotagging, an in vivo biotinylation approach for cell-type specific subcellular profiling in zebrafish.

Trinh LA, Chong-Morrison V, Sauka-Spengler T.

Methods. 2018 Nov 1;150:24-31. doi: 10.1016/j.ymeth.2018.07.011. Epub 2018 Aug 2.

PMID:
30076893
4.

Generation of a double binary transgenic zebrafish model to study myeloid gene regulation in response to oncogene activation in melanocytes.

Kenyon A, Gavriouchkina D, Zorman J, Chong-Morrison V, Napolitani G, Cerundolo V, Sauka-Spengler T.

Dis Model Mech. 2018 Apr 6;11(4). pii: dmm030056. doi: 10.1242/dmm.030056.

5.

Biotagging of Specific Cell Populations in Zebrafish Reveals Gene Regulatory Logic Encoded in the Nuclear Transcriptome.

Trinh LA, Chong-Morrison V, Gavriouchkina D, Hochgreb-Hägele T, Senanayake U, Fraser SE, Sauka-Spengler T.

Cell Rep. 2017 Apr 11;19(2):425-440. doi: 10.1016/j.celrep.2017.03.045.

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