ArticleCell cycle (Georgetown, Tex.)2012
Directing p53 to induce autophagy.
Article in Cell cycle (Georgetown, Tex.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 6 citations in OpenAlex.
- Spatiotemporal distribution of small ubiquitin-like modifiers during human placental development and in response to oxidative and inflammatory stress.The Journal of physiology · 2018Article
- AMPK is required for PM2.5-induced autophagy in human lung epithelial A549 cells.International journal of clinical and experimental medicine · 2015Article
- Polo-like kinase 1 inhibitors, mitotic stress and the tumor suppressor p53.Cell cycle (Georgetown, Tex.) · 2013Article
Corrections and comments
- Comment on
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Comment on: Naidu SR, et al. Cell Cycle 2012; 11:2717-28.
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.