Evidence map›Paper›PMID 31110243›Full record

ArticleScientific data2019

Transcriptomic profiles of 33 opium poppy samples in different tissues, growth phases, and cultivars.

Yucheng Zhao, Zhaoping Zhang, Mingzhi Li, Jun Luo, Fang Chen, Yongfu Gong, Yanrong Li, Yujie Wei, Yujie Su, Lingyi Kong

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Transcriptome Analysis ofMolecules (Basel, Switzerland) · 2025
    Article
  3. Review
  4. Article
  5. Divergent proteomic profiles of opium poppy cultivars.Turkish journal of biology = Turk biyoloji dergisi · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

10 authors at 4 institutions in 1 country.

Yucheng ZhaoJiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjiaxiang, Nanjing, 210009, China.
Zhaoping ZhangChina Agriculture Research System (CARS-21), No. 234 Xinzhen Road, Huangyang town, Liangzhou District, Wuwei, Gansu, 733006, China.
Mingzhi LiGenepioneer Biotechnologies Co. Ltd., No. 9 Weidi Road, Qixia District, Nanjing, 210014, China.
Jun LuoJiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjiaxiang, Nanjing, 210009, China.
Fang ChenChina Agriculture Research System (CARS-21), No. 234 Xinzhen Road, Huangyang town, Liangzhou District, Wuwei, Gansu, 733006, China.
Yongfu GongChina Agriculture Research System (CARS-21), No. 234 Xinzhen Road, Huangyang town, Liangzhou District, Wuwei, Gansu, 733006, China.
Yanrong LiChina Agriculture Research System (CARS-21), No. 234 Xinzhen Road, Huangyang town, Liangzhou District, Wuwei, Gansu, 733006, China.
Yujie WeiChina Agriculture Research System (CARS-21), No. 234 Xinzhen Road, Huangyang town, Liangzhou District, Wuwei, Gansu, 733006, China.
Yujie SuChina Agriculture Research System (CARS-21), No. 234 Xinzhen Road, Huangyang town, Liangzhou District, Wuwei, Gansu, 733006, China.
Lingyi KongJiangsu Key Laboratory of Bioactive Natural Product Research and State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjiaxiang, Nanjing, 210009, China. cpu_lykong@126.com.
Huawei Technologies (China) · CNState Key Laboratory of Natural MedicineChina Pharmaceutical University · CNSingleron Biotechnologies (china) · CN

Funding

China Postdoctoral Science Foundation 2016M601922, 2018T110577National Natural Science Foundation of China (National Science Foundation of China) 81703637
6 · The paper itself

Abstract

Opium poppy is one of the most important medicinal plants and remains the only commercial resource of morphinan-based painkillers. However, little is known about the regulatory mechanisms involved in benzylisoquinoline alkaloids (BIAs) biosynthesis in opium poppy. Herein, the full-length transcriptome dataset of opium poppy was constructed for the first time in accompanied with the 33 samples of Illumina transcriptome data from different tissues, growth phases and cultivars. The long-read sequencing produced 902,140 raw reads with 55,114 high-quality transcripts, and short-read sequencing produced 1,923,679,864 clean reads with an average Q30 rate of 93%. The high-quality transcripts were subsequently quantified using the short reads, and the expression of each unigene among different samples was calculated as reads per kilobase per million mapped reads (RPKM). These data provide a foundation for opium poppy transcriptomic analysis, which may aid in capturing splice variants and some non-coding RNAs involved in the regulation of BIAs biosynthesis. It can also be used for genome assembly and annotation which will favor in new transcript identification.

Indexed as

TranscriptomeBenzylisoquinolinesGene Expression ProfilingGene Expression Regulation, PlantPapaverBenzylisoquinolines

Identifiers

PMID31110243
PMCPMC6527585
OpenAlexW2945907104

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.