Evidence map›Paper›PMID 38668979›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Ocean to Tree: Leveraging Single-Molecule RNA-Seq to Repair Genome Gene Models and Improve Phylogenomic Analysis of Gene and Species Evolution.

Jan Hsiao, Lola Chenxi Deng, Leonid L Moroz, Sreekanth H Chalasani, Eric Edsinger

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jan HsiaoMolecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA, USA.
Lola Chenxi DengMolecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA, USA.
Leonid L MorozWhitney Laboratory for Marine Bioscience, University of Florida, St. Augustine, FL, USA.
Sreekanth H ChalasaniMolecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA, USA.
Eric EdsingerMolecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA, USA.

Funding

Neuron-SELEX: Development of neuron-specific nanoscale toolkits for single-cell recognitionR01NS114491 · NINDS · UNIVERSITY OF FLORIDA · PI MOROZ, LEONID L · 2020 to 2024
$2.0M
Identifying new ultrasound-sensitive proteinsR21MH119646 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI CHALASANI, SREEKANTH H., EDSINGER, ERIC · 2019 to 2020
$526k
NIMH NIH HHS R21 MH119646NINDS NIH HHS R01 NS114491
6 · The paper itself

Abstract

Understanding gene evolution across genomes and organisms, including ctenophores, can provide unexpected biological insights. It enables powerful integrative approaches that leverage sequence diversity to advance biomedicine. Sequencing and bioinformatic tools can be inexpensive and user-friendly, but numerous options and coding can intimidate new users. Distinct challenges exist in working with data from diverse species but may go unrecognized by researchers accustomed to gold-standard genomes. Here, we provide a high-level workflow and detailed pipeline to enable animal collection, single-molecule sequencing, and phylogenomic analysis of gene and species evolution. As a demonstration, we focus on (1) PacBio RNA-seq of the genome-sequenced ctenophore Mnemiopsis leidyi, (2) diversity and evolution of the mechanosensitive ion channel Piezo in genetic models and basal-branching animals, and (3) associated challenges and solutions to working with diverse species and genomes, including gene model updating and repair using single-molecule RNA-seq. We provide a Python Jupyter Notebook version of our pipeline (GitHub Repository: Ctenophore-Ocean-To-Tree-2023 https://github.com/000generic/Ctenophore-Ocean-To-Tree-2023 ) that can be run for free in the Google Colab cloud to replicate our findings or modified for specific or greater use. Our protocol enables users to design new sequencing projects in ctenophores, marine invertebrates, or other novel organisms. It provides a simple, comprehensive platform that can ease new user entry into running their evolutionary sequence analyses.

Indexed as

CtenophoraEvolution, MolecularPhylogenyRNA-SeqAnimalsComputational BiologyGenomeGenomicsModels, GeneticSoftwareCtenophoraDe novo transcriptomeGene family treeMechanosensitive ion channelsMnemiopsisPhylogenetic treesPhylogenomicsPiezoSingle-molecule sequencing PacBio SMRT

Identifiers

PMID38668979
PMCPMC11112408

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.