ArticleFEBS open bio2019
Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA-sequencing analysis.
Article in FEBS open bio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 7 citations in OpenAlex.
- Revisiting two-stage models of chemically-induced cirrhosis-associated hepatocarcinogenesis in rodents: methodological and histopathological approaches.Journal of molecular histology · 2026Review
- Article
- Proteomic analysis of DEN and CClScientific reports · 2024Article
- SL-scan identifies synthetic lethal interactions in cancer using metabolic networks.Scientific reports · 2023Article
- Inhibition of anti-inflammatory pathway through suppressors of cytokine signalling (Socs2/Socs3) in the initiation of hepatocellular carcinoma.Saudi journal of biological sciences · 2022Article
- Transcriptomic profiling of human dental pulp cells treated with tricalcium silicate-based cements by RNA sequencing.Clinical oral investigations · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA-sequencing (RNA-Seq) is a useful method to explore the molecular events in cells and tissues at the transcriptional level. However, comprehensive transcriptome analysis of hepatocarcinogenesis and progression is lacking. In this study, we aimed to characterize a dimethylnitrosamine (DEN) and carbon tetrachloride (CCl
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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.