Unknown

Dataset Information

0

Dataset for a Dugesia japonica de novo transcriptome assembly, utilized for defining the voltage-gated like ion channel superfamily.


ABSTRACT: This data article provides a transcriptomic resource for the free living planarian flatworm Dugesia japonica related to the research article entitled 'Utilizing the planarian voltage-gated ion channel transcriptome to resolve a role for a Ca2+ channel in neuromuscular function and regeneration (J.D. Chan, D. Zhang, X. Liu, M. Zarowiecki, M. Berriman, J.S. Marchant, 2016) [1]. Data provided in this submission comprise sequence information for the unfiltered de novo assembly, the filtered assembly and a curated analysis of voltage-gated like (VGL) ion channel sequences mined from this resource. Availability of this data should facilitate further adoption of this model by laboratories interested in studying the role of individual genes of interest in planarian physiology and regenerative biology.

SUBMITTER: Chan JD 

PROVIDER: S-EPMC5124351 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Dataset for a <i>Dugesia japonica</i> de novo transcriptome assembly, utilized for defining the voltage-gated like ion channel superfamily.

Chan John D JD   Zhang Dan D   Liu Xiaolong X   Zarowiecki Magdalena Z MZ   Berriman Matthew M   Marchant Jonathan S JS  

Data in brief 20161116


This data article provides a transcriptomic resource for the free living planarian flatworm <i>Dugesia japonica</i> related to the research article entitled 'Utilizing the planarian voltage-gated ion channel transcriptome to resolve a role for a Ca<sup>2+</sup> channel in neuromuscular function and regeneration (J.D. Chan, D. Zhang, X. Liu, M. Zarowiecki, M. Berriman, J.S. Marchant, 2016) [1]. Data provided in this submission comprise sequence information for the unfiltered de novo assembly, the  ...[more]

Similar Datasets

| S-EPMC2754324 | biostudies-literature
| S-EPMC4795655 | biostudies-literature
2021-03-01 | GSE160278 | GEO
2023-09-30 | GSE223927 | GEO
| S-EPMC4387267 | biostudies-literature
| S-EPMC6909173 | biostudies-literature
| S-EPMC3507646 | biostudies-literature
| S-EPMC6918785 | biostudies-literature
| S-EPMC3910276 | biostudies-literature
| PRJNA756093 | ENA