ArticleData in brief2026
Metabolomic data of melittin-intervened murine cervical cancer cells based on liquid chromatography-mass spectrometry.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Melittin-treated murine cervical cancer U14 cells have been widely recognized as a classic cellular model for anti-tumor research in cervical cancer. This article contains metabolomic data of U14 cell lysates from both melittin-treated and control groups. Untargeted metabolomic profiling was carried out by liquid chromatography-mass spectrometry (LC-MS) to systematically elucidate the global metabolic disturbances in cervical cancer cells upon melittin intervention. LC-MS raw data were processed for peak extraction and alignment using XCMS software, followed by quality control normalization with metaX software. Metabolite annotation was performed against the HMDB and KEGG databases as well as an in-house MS/MS spectral library, yielding metabolite feature data including mass-to-charge ratio (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.