Evidence map›Paper›PMID 38184679›Full record

ArticleScientific data2024

Single molecule real-time sequencing data sets of Hypericum perforatum L. plantlets and cell suspension cultures.

Rajendran K Selvakesavan, Maria Nuc, Vladislav Kolarčik, Paweł Krajewski, Gregory Franklin

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Rajendran K SelvakesavanInstitute of Plant Genetics of the Polish Academy of Sciences, Strzeszyńska 34, 60-479, Poznań, Poland.
Maria NucInstitute of Plant Genetics of the Polish Academy of Sciences, Strzeszyńska 34, 60-479, Poznań, Poland.
Vladislav KolarčikInstitute of Biology and Ecology, Faculty of Science, Pavol Jozef Šafárik University in Košice, Mánesova 23, SK-041 54, Košice, Slovakia.
Paweł KrajewskiInstitute of Plant Genetics of the Polish Academy of Sciences, Strzeszyńska 34, 60-479, Poznań, Poland. pkra@igr.poznan.pl.ORCID 0000-0001-5318-9896
Gregory FranklinInstitute of Plant Genetics of the Polish Academy of Sciences, Strzeszyńska 34, 60-479, Poznań, Poland. fgre@igr.poznan.pl.ORCID 0000-0002-6745-3528

Funding

Narodowe Centrum Nauki (National Science Centre) 2016/23/b/NZ9/02677Narodowe Centrum Nauki (National Science Centre) 2017/25/B/NZ9/00720
6 · The paper itself

Abstract

Hypericum is a large genus that includes more than 500 species of pharmacological, ecological and conservation value. Although latest advances in sequencing technologies were extremely exploited for generating and assembling genomes of many living organisms, annotated whole genome sequence data is not publicly available for any of the Hypericum species so far. Bioavailability of secondary metabolites varies for different tissues and the data derived from different cultures will be a valuable tool for comparative studies. Here, we report the single molecule real-time sequencing (SMRT) data sets of Hypericum perforatum L. plantlets and cell suspension cultures for the first time. Sequencing data from cell suspension cultures yielded more than 33,000 high-quality transcripts from 20 Gb of raw data, while more than 55,000 high-quality transcripts were obtained from 35 Gb of raw data from plantlets. This dataset is a valuable tool for comparative transcriptomic analysis and will help to understand the unknown biosynthetic pathways of high medicinal value in the Hypericum genus.

Indexed as

HypericumCell Culture TechniquesGene Expression ProfilingTranscriptome

Identifiers

PMID38184679
PMCPMC10771467

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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.