Evidence map›Paper›PMID 38433215›Full record

ArticleFluids and barriers of the CNS2024

The proteome of the blood-brain barrier in rat and mouse: highly specific identification of proteins on the luminal surface of brain microvessels by in vivo glycocapture.

Tammy-Lynn Tremblay, Wael Alata, Jacqueline Slinn, Ewa Baumann, Christie E Delaney, Maria Moreno, Arsalan S Haqqani, Danica B Stanimirovic, Jennifer J Hill

Open access · goldAbstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Tammy-Lynn TremblayHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Wael AlataHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Jacqueline SlinnHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Ewa BaumannHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Christie E DelaneyHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Maria MorenoHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Arsalan S HaqqaniHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Danica B StanimirovicHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada.
Jennifer J HillHuman Health Therapeutics, National Research Council Canada, 100 Sussex Dr., Ottawa, ON, K1A 0R6, Canada. Jennifer.Hill@nrc-cnrc.gc.ca.
National Research Council Canada · CANew York University Abu Dhabi · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe active transport of molecules into the brain from blood is regulated by receptors, transporters, and other cell surface proteins that are present on the luminal surface of endothelial cells at the blood-brain barrier (BBB). However, proteomic profiling of proteins present on the luminal endothelial cell surface of the BBB has proven challenging due to difficulty in labelling these proteins in a way that allows efficient purification of these relatively low abundance cell surface proteins.

methodsHere we describe a novel perfusion-based labelling workflow: in vivo glycocapture. This workflow relies on the oxidation of glycans present on the luminal vessel surface via perfusion of a mild oxidizing agent, followed by subsequent isolation of glycoproteins by covalent linkage of their oxidized glycans to hydrazide beads. Mass spectrometry-based identification of the isolated proteins enables high-confidence identification of endothelial cell surface proteins in rats and mice.

resultsUsing the developed workflow, 347 proteins were identified from the BBB in rat and 224 proteins in mouse, for a total of 395 proteins in both species combined. These proteins included many proteins with transporter activity (73 proteins), cell adhesion proteins (47 proteins), and transmembrane signal receptors (31 proteins). To identify proteins that are enriched in vessels relative to the entire brain, we established a vessel-enrichment score and showed that proteins with a high vessel-enrichment score are involved in vascular development functions, binding to integrins, and cell adhesion. Using publicly-available single-cell RNAseq data, we show that the proteins identified by in vivo glycocapture were more likely to be detected by scRNAseq in endothelial cells than in any other cell type. Furthermore, nearly 50% of the genes encoding cell-surface proteins that were detected by scRNAseq in endothelial cells were also identified by in vivo glycocapture.

conclusionsThe proteins identified by in vivo glycocapture in this work represent the most complete and specific profiling of proteins on the luminal BBB surface to date. The identified proteins reflect possible targets for the development of antibodies to improve the crossing of therapeutic proteins into the brain and will contribute to our further understanding of BBB transport mechanisms.

Indexed as

Blood-Brain BarrierProteomeAnimalsBrainEndothelial CellsMembrane ProteinsMiceMicrovesselsPolysaccharidesProteomicsRatsMembrane ProteinsPolysaccharidesProteomeBlood–brain barrierEndothelialLuminalProteomicsVessel

Identifiers

PMID38433215
PMCPMC10910681
OpenAlexW4392343061

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.