Evidence map›Paper›PMID 37089209›Full record

ArticleData in brief2023

In silico microRNA network data in zebrafish after antineoplastic ifosfamide exposure.

Cole D English, Kira J Kazi, Isaac Konig, Emma Ivantsova, Christopher L Souders Ii, Christopher J Martyniuk

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2023. 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
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Integrating network analysis and machine learning to elucidate chemical-induced pancreatic toxicity in zebrafish embryos.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    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

6 authors at 3 institutions in 3 countries.

Cole D EnglishCenter for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, 32611, USA.
Kira J KaziCenter for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, 32611, USA.
Isaac KonigCenter for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, 32611, USA.
Emma IvantsovaCenter for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, 32611, USA.
Christopher L Souders IiCenter for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, 32611, USA.
Christopher J MartyniukCenter for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, 32611, USA.
University of Florida · USInstitute of Genetics · HUUniversidade Federal de Lavras · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ifosfamide is a cancer-fighting chemotherapeutic that has been detected in aquatic ecosystems. Zebrafish larvae were exposed to either 0, 1 or 100 µg/L ifosfamide in the water for 7 days, and fish were subjected to total RNA extraction and RNA-seq analysis with the Illumina NovoSeq 6000 instrument. Raw sequence data were processed through fastp and clean reads obtained by removing adapter and poly-N sequences, as well as low quality reads. Differential gene expression was performed using the abundance of transcripts that mapped to the zebrafish genome. To uncover putative targets regulated by microRNAs, Pathway Studio 12.0 was used to conduct a subnetwork enrichment analysis. Expression data were used to predict which microRNAs were important for the response to ifosfamide exposure. There were 21 common microRNAs identified in both the "IFOS1" and "IFOS100" datasets. These were MIR150, MIR6515, MIR657, MIR216A, m_Mir741, MIRLET7E, miR-let-7, MIR2392, r_Mir3551, MIR181B1, MIR33A, MIR502, MIR193B, MIR146A, MIR431, MIR647, m_Mir1192, MIR297, MIR328, and MIR4717. Data can be re-used to advance adverse outcome pathways in regulatory toxicology and to refine biomarker discovery for antineoplastics in aquatic environments.

Indexed as

Aquatic toxicologyCancer treatmentInteractomeRisk assessment

Identifiers

PMID37089209
PMCPMC10114429
OpenAlexW4361294696

What OpenQuestion holds

Textmetadata
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.