ReviewBiomolecules2021
Review of Methodological Approaches to Human Milk Small Extracellular Vesicle Proteomics.
Review in Biomolecules, 2021. 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, 16 citations in OpenAlex.
- A Proteomic Atlas of Human Milk: Uncovering Milk Functional Components.Research square · 2026Article
- Human milk extracellular vesicles modulate inflammation and cell survival in intestinal and immune cells.Pediatric research · 2025Article
- Circ-0000197 derived from porcine milk small extracellular vesicles promotes intestinal barrier function by sponging miR-429.Journal of animal science and biotechnology · 2025Article
- Development of simulated human milk ultrafiltrate (SHMUF) for analysis of native particles in human milk.Scientific reports · 2025Article
- Non-coding RNAs as key players in neurodegeneration and brain tumors: Insights into therapeutic strategies.Iranian journal of basic medical sciences · 2025Review
- Oncoviral Infections and Small Extracellular Vesicles.Viruses · 2024Review
- Gestational age at birth influences protein and RNA content in human milk extracellular vesicles.Journal of extracellular biology · 2024Article
- Application of Milk Exosomes for Musculoskeletal Health: Talking Points in Recent Outcomes.Nutrients · 2023Review
- Protein and Lipid Content of Milk Extracellular Vesicles: A Comparative Overview.Life (Basel, Switzerland) · 2023Review
- Review
- Mother-to-Child Signaling through Breast Milk Biomolecules.Biomolecules · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
Abstract
Proteomics can map extracellular vesicles (EVs), including exosomes, across disease states between organisms and cell types. Due to the diverse origin and cargo of EVs, tailoring methodological and analytical techniques can support the reproducibility of results. Proteomics scans are sensitive to in-sample contaminants, which can be retained during EV isolation procedures. Contaminants can also arise from the biological origin of exosomes, such as the lipid-rich environment in human milk. Human milk (HM) EVs and exosomes are emerging as a research interest in health and disease, though the experimental characterization and functional assays remain varied. Past studies of HM EV proteomes have used data-dependent acquisition methods for protein detection, however, improvements in data independent acquisition could allow for previously undetected EV proteins to be identified by mass spectrometry. Depending on the research question, only a specific population of proteins can be compared and measured using isotope and other labelling techniques. In this review, we summarize published HM EV proteomics protocols and suggest a methodological workflow with the end-goal of effective and reproducible analysis of human milk EV proteomes.
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.