ArticleConvergent science physical oncology2017
Multiplexed single cell protein expression analysis in solid tumours using a miniaturised microfluidic assay.
Article in Convergent science physical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Single cell quantification of microRNA from small numbers of non-invasively sampled primary human cells.Communications biology · 2023Article
- Synthesis and investigation on microstructural, mechanical features of mesoporous hardystonite/reduced graphene oxide nanocomposite for medical applications.Frontiers in bioengineering and biotechnology · 2023Article
- The Human Protein Atlas-Spatial localization of the human proteome in health and disease.Protein science : a publication of the Protein Society · 2021Article
- A high-stringency blueprint of the human proteome.Nature communications · 2020Review
- Centrifugal Microfluidics Traps for Parallel Isolation and Imaging of Single Cells.Micromachines · 2020Article
- Protein and Proteome Measurements with Microfluidic Chips.Analytical chemistry · 2020Review
- Single-cell patterning technology for biological applications.Biomicrofluidics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Using patient-derived colorectal cancer xenografts, we demonstrate a practicable workflow for single cell proteomics in clinically relevant samples and thus a potential translational route for single cell proteomics into medical diagnostics. Using a microfluidic antibody capture (MAC) chip we measured the expression of the tumour suppressor protein p53 and of its post-translationally modified form phosphorylated at serine-15. Aberrant expression of these has commonly been found in colorectal cancers and has been widely investigated for prognostic significance. Our results show that the MAC technology is viable for quantitatively assessing protein expression and phosphorylation at the single cell level in microscopic amounts of clinically relevant tumour material. Thus, this could become a useful tool in therapeutic-associated single cell protein analysis. We also found dramatic variability of p53 and phosphorylated p53 quantities between individual cancer cells from the same sample, demonstrating the power of this single cell technology to study functional intratumour heterogeneity.
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.