ArticleScientific data2015
De novo transcriptome assembly databases for the central nervous system of the medicinal leech.
Article in Scientific data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The genome of medicinal leech (Whitmania pigra) and comparative genomic study for exploration of bioactive ingredients.BMC genomics · 2022Article
- Draft genome sequences of Hirudo medicinalis and salivary transcriptome of three closely related medicinal leeches.BMC genomics · 2020Article
- Hirudins of the Asian medicinal leech, Hirudinaria manillensis: same same, but different.Parasitology research · 2019Article
- Article
- 9-Phenanthrol modulates postinhibitory rebound and afterhyperpolarizing potentials in an excitatory motor neuron of the medicinal leech.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2017Article
- A leech model for homeostatic plasticity and motor network recovery after loss of descending inputs.Journal of neurophysiology · 2016Article
- More than just one: multiplicity of Hirudins and Hirudin-like Factors in the Medicinal Leech, Hirudo medicinalis.Molecular genetics and genomics : MGG · 2016Article
- Host Matters: Medicinal Leech Digestive-Tract Symbionts and Their Pathogenic Potential.Frontiers in microbiology · 2016Review
- De novo transcriptome assembly databases for the central nervous system of the medicinal leech.Scientific data · 2015Article
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Authors and funding
4 authors.
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Abstract
The study of non-model organisms stands to benefit greatly from genetic and genomic data. For a better understanding of the molecular mechanisms driving neuronal development, and to characterize the entire leech Hirudo medicinalis central nervous system (CNS) transcriptome we combined Trinity for de-novo assembly and Illumina HiSeq2000 for RNA-Seq. We present a set of 73,493 de-novo assembled transcripts for the leech, reconstructed from RNA collected, at a single ganglion resolution, from the CNS. This set of transcripts greatly enriches the available data for the leech. Here, we share two databases, such that each dataset allows a different type of search for candidate homologues. The first is the raw set of assembled transcripts. This set allows a sequence-based search. A comprehensive analysis of which revealed 22,604 contigs with high e-values, aligned versus the Swiss-Prot database. This analysis enabled the production of the second database, which includes correlated sequences to annotated transcript names, with the confidence of BLAST best hit.
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