ArticleMolecular and cellular biochemistry2020
Protein phosphorylation profiling of peripheral nerve regeneration after autologous nerve grafting.
Article in Molecular and cellular biochemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 5 citations in OpenAlex.
- Blood vessel remodeling in late stage of vascular network reconstruction is essential for peripheral nerve regeneration.Bioengineering & translational medicine · 2022Article
- Electrospun conductive nanofiber yarns for accelerating mesenchymal stem cells differentiation and maturation into Schwann cell-like cells under a combination of electrical stimulation and chemical induction.Acta biomaterialia · 2022Article
- Transcriptomic analysis reveals essential microRNAs after peripheral nerve injury.Neural regeneration research · 2021Article
- DJ-1-Binding Compound Improves Peripheral Nerve Injury in the Spinal Dorsal Horn by Restraining STAT3-Mediated Neurotoxic Reactive Astrocytes.Dose-response : a publication of International Hormesis SocietyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Autologous nerve grafting is the golden standard therapeutic approach of peripheral nerve injury. However, the clinical effect of autologous nerve grafting is still unsatisfying. To achieve better clinical functional recovery, it is of an impending need to expand our understanding of the dynamic cellular and molecular changes after nerve transection and autologous nerve transplantation. To address this aim, in the current study, rats were subjected to sciatic nerve transection and autologous nerve grafting. Rat sciatic nerve segments were collected at 4, 7, and 14 days after surgery and subjected to antibody array analysis to determine phosphoprotein profiling patterns. Compared with rats that underwent sham surgery, a total of 48, 19, and 75 differentially expressed phosphoproteins with fold changes > 2 or < -2 were identified at 4, 7, and 14 days after autologous nerve grafting, respectively. Several phosphoproteins, including STAM2 (Phospho-Tyr192) and Tau (Phospho-Ser422), were found to be differentially expressed at multiple time points, suggesting the importance of the phosphorylation of these proteins. Western blot validation of the expression patterns of STAM2 (Phospho-Tyr192) indicated the accuracy of antibody array assay. Bioinformatic analysis of these differentially expressed proteins suggested that cellular behavior and organ morphology were significantly involved biological functions while cell behavior and immune response-related signaling pathways were significantly involved canonical signaling pathways. These outcomes contributed to the illumination of the molecular mechanisms underlying autologous nerve grafting from the phosphoprotein profiling perspective.
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.