ArticleBiosensors2018
Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Article
- High Molecular Crowding in Repair Foci Surrounding DNA Breaks, Measured by Fluorescence Lifetime Imaging Microscopy.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Raman-based machine-learning platform reveals unique metabolic differences between IDHmut and IDHwt glioma.Neuro-oncology · 2024Article
- Mitochondrial Dysfunction and Apoptosis in Brain Microvascular Endothelial Cells Following Blast Traumatic Brain Injury.Cellular and molecular neurobiology · 2023Article
- Label-Free Optical Spectroscopy for Early Detection of Oral Cancer.Diagnostics (Basel, Switzerland) · 2022Review
- Raman Research on Bleomycin-Induced DNA Strand Breaks and Repair Processes in Living Cells.International journal of molecular sciences · 2022Article
- Mitochondrial Dysfunction: A Prelude to Neuropathogenesis of SARS-CoV-2.ACS chemical neuroscience · 2022Article
- A Single-Organelle Optical Omics Platform for Cell Science and Biomarker Discovery.Analytical chemistry · 2021Article
- Unveiling Cancer Metabolism through Spontaneous and Coherent Raman Spectroscopy and Stable Isotope Probing.Cancers · 2021Review
- IDH1 mutations induce organelle defects via dysregulated phospholipids.Nature communications · 2021Article
- Raman Microscopy: Progress in Research on Cancer Cell Sensing.Sensors (Basel, Switzerland) · 2020Review
- Toward Single-Organelle Lipidomics in Live Cells.Analytical chemistry · 2019Article
- Review
- Detection of Metabolic Changes Induced via Drug Treatments in Live Cancer Cells and Tissue Using Raman Imaging Microscopy.Biosensors · 2018Article
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.
Funding
Abstract
Raman microspectroscopy is a rapidly developing technique, which has an unparalleled potential for in situ proteomics, lipidomics, and metabolomics, due to its remarkable capability to analyze the molecular composition of live cells and single cellular organelles. However, the scope of Raman spectroscopy for bio-applications is limited by a lack of software tools for express-analysis of biomolecular composition based on Raman spectra. In this study, we have developed the first software toolbox for immediate analysis of intracellular Raman spectra using a powerful biomolecular component analysis (BCA) algorithm. Our software could be easily integrated with commercial Raman spectroscopy instrumentation, and serve for precise analysis of molecular content in major cellular organelles, including nucleoli, endoplasmic reticulum, Golgi apparatus, and mitochondria of either live or fixed cells. The proposed software may be applied in broad directions of cell science, and serve for further advancement and standardization of Raman spectroscopy.
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.