Evidence map›Paper›PMID 37140798›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Quantitative Analysis of Extracellular Vesicle Release Using Artificial MicroRNAs.

Albert Lu

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Albert LuDepartament de Biomedicina, Unitat de Biologia Cel·lular, Facultat de Medicina i Ciències de la Salut, Centre de Recerca Biomèdica CELLEX, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain. albertlu@ub.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the widely used concept of extracellular vesicle (EV)-mediated intercellular communication, we are still far from understanding what is the exact role of such nanosized vesicles in human physiology and disease. Thus, development of new methods and tools that enable the study of fundamental EV biology is valuable for advancing the field. Typically, EV production and release are monitored using approaches that rely on either antibody-based FACS assays or genetically encoded fluorescent proteins. We previously devised artificially barcoded exosomal microRNAs (bEXOmiRs) that were used as high-throughput reporters of EV release. In the first part of this protocol, basic steps and considerations for the design and cloning of bEXOmiRs are explained in detail. Next, analysis of bEXOmiR expression and abundance in cells and isolated EVs is described.

Indexed as

Extracellular VesiclesMicroRNAsAntibodiesCell CommunicationHumansAntibodiesMicroRNAsArtificial microRNAsbEXOmiRsExosomesExtracellular vesiclesStem-loop RT-PCR

Identifiers

PMID37140798

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.