ArticleScientific reports2016
A SILAC-Based Method for Quantitative Proteomic Analysis of Intestinal Organoids.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 27 citations in OpenAlex.
- Review
- Workflow for Quantitative Proteomic Analysis of Intestinal Organoids Using SILAC.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Article
- Potential impact of tissue molecular heterogeneity on ambient mass spectrometry profiles: a note of caution in choosing the right disease model.Analytical and bioanalytical chemistry · 2021Review
- Article
- Loss of interleukin-17 receptor D promotes chronic inflammation-associated tumorigenesis.Oncogene · 2021Article
- Protein Synthesis by Day 16 Bovine Conceptuses during the Time of Maternal Recognition of Pregnancy.International journal of molecular sciences · 2020Article
- A Semi-automated Organoid Screening Method Demonstrates Epigenetic Control of Intestinal Epithelial Differentiation.Frontiers in cell and developmental biology · 2020Article
- HDAC1 and HDAC2 independently regulate common and specific intrinsic responses in murine enteroids.Scientific reports · 2019Article
- The tyrosine phosphatase Shp-2 confers resistance to colonic inflammation by driving goblet cell function and crypt regeneration.The Journal of pathology · 2019Article
- Exploring ribosome composition and newly synthesized proteins through proteomics and potential biomedical applications.Expert review of proteomics · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Organoids have the potential to bridge 3D cell culture to tissue physiology by providing a model resembling in vivo organs. Long-term growing organoids were first isolated from intestinal crypt cells and recreated the renewing intestinal epithelial niche. Since then, this technical breakthrough was applied to many other organs, including prostate, liver, kidney and pancreas. We describe here how to apply a SILAC-based quantitative proteomic approach to measure protein expression changes in intestinal organoids under different experimental conditions. We generated SILAC organoid media that allow organoids to grow and differentiate normally, and confirmed the incorporation of isotopically labelled amino acids. Furthermore, we used a treatment reported to affect organoid differentiation to demonstrate the reproducibility of the quantification using this approach and to validate the identification of proteins that correlate with the inhibition of cellular growth and development. With the combined use of quantitative mass spectrometry, SILAC and organoid culture, we validated this approach and showed that large-scale proteome variations can be measured in an "organ-like" system.
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.