ReviewChemical science2024
Metal-detection based techniques and their applications in metallobiology.
Review in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- The ferroptosis-cuproptosis crosstalk in hematological malignancies: multi-omics insights into gene-regulated cell death and emerging therapeutic opportunities.Apoptosis : an international journal on programmed cell death · 2026Review
- Cyclic immunofluorescence platform using photocleavable linkers for direct antibody labeling enables cancer phenotyping.bioRxiv : the preprint server for biology · 2026Article
- Complementary Quantitation of Inorganic Counterions and Organic Components Using ICP OES and qNMR for Organo-Sulfonic Salts.ACS omega · 2026Article
- A Schiff Base-Functionalized Triphenylamine Fluorescent Probe for Selective and Sensitive Detection of CuJournal of fluorescence · 2026Article
- In Situ Lipid Interactions of an Anticancer Metal Complex.Inorganic chemistry · 2026Article
- Microbial metal physiology: ions to ecosystems.Nature reviews. Microbiology · 2025Review
- A Narrative Review of Metallomic Studies: Revealing the Toxic Metal Burden in Tobacco Smokers.International journal of molecular sciences · 2025Review
- Luminescent Lanthanides in Biorelated Applications: From Molecules to Nanoparticles and Diagnostic Probes to Therapeutics.Chemical reviews · 2025Review
- Uncovering exposome-related diseases through the pathologic metallome: a novel approach for clinical populations.Frontiers in toxicology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metals are essential for human health and play a crucial role in numerous biological processes and pathways. Gaining a deeper insight into these biological events will facilitate novel strategies for disease prevention, early detection, and personalized treatment. In recent years, there has been significant progress in the development of metal-detection based techniques from single cell metallome and proteome profiling to multiplex imaging, which greatly enhance our comprehension of the intricate roles played by metals in complex biological systems. This perspective summarizes the recent progress in advanced metal-detection based techniques and highlights successful applications in elucidating the roles of metals in biology and medicine. Technologies including machine learning that couple with single-cell analysis such as mass cytometry and their application in metallobiology, cancer biology and immunology are also emphasized. Finally, we provide insights into future prospects and challenges involved in metal-detection based techniques, with the aim of inspiring further methodological advancements and applications that are accessible to chemists, biologists, and clinicians.
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.