Evidence map›Paper›PMID 29273013›Full record

ArticleBMC genomics2017

A next generation sequencing based approach to identify extracellular vesicle mediated mRNA transfers between cells.

Jialiang Yang, Jacob Hagen, Kalyani V Guntur, Kimaada Allette, Sarah Schuyler, Jyoti Ranjan, Francesca Petralia, Stephane Gesta, Robert Sebra, Milind Mahajan and 11 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

16 citing papers in PubMed, 25 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

21 authors at 1 institution in 1 country.

Jialiang YangInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.ORCID 0000-0003-4689-8672
Jacob HagenInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Kalyani V GunturBERG, LLC, Framingham, MA, 01701, USA.
Kimaada AlletteInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Sarah SchuylerInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Jyoti RanjanBERG, LLC, Framingham, MA, 01701, USA.
Francesca PetraliaInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Stephane GestaBERG, LLC, Framingham, MA, 01701, USA.
Robert SebraInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Milind MahajanInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Bin ZhangInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Jun ZhuInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Sander HoutenInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Andrew KasarskisInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Vivek K VishnudasBERG, LLC, Framingham, MA, 01701, USA.
Viatcheslav R AkmaevBERG, LLC, Framingham, MA, 01701, USA.
Rangaprasad SarangarajanBERG, LLC, Framingham, MA, 01701, USA.
Niven R NarainBERG, LLC, Framingham, MA, 01701, USA.
Eric E SchadtInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Carmen A ArgmannInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. carmen.argmann@mssm.edu.
Zhidong TuInstitute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. zhidong.tu@mssm.edu.
Icahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExosomes and other extracellular vesicles (EVs) have emerged as an important mechanism of cell-to-cell communication. However, previous studies either did not fully resolve what genetic materials were shuttled by exosomes or only focused on a specific set of miRNAs and mRNAs. A more systematic method is required to identify the genetic materials that are potentially transferred during cell-to-cell communication through EVs in an unbiased manner.

resultsIn this work, we present a novel next generation of sequencing (NGS) based approach to identify EV mediated mRNA exchanges between co-cultured adipocyte and macrophage cells. We performed molecular and genomic profiling and jointly considered data from RNA sequencing (RNA-seq) and genotyping to track the "sequence varying mRNAs" transferred between cells. We identified 8 mRNAs being transferred from macrophages to adipocytes and 21 mRNAs being transferred in the opposite direction. These mRNAs represented biological functions including extracellular matrix, cell adhesion, glycoprotein, and signal peptides.

conclusionsOur study sheds new light on EV mediated RNA communications between adipocyte and macrophage cells, which may play a significant role in developing insulin resistance in diabetic patients. This work establishes a new method that is applicable to examining genetic material exchanges in many cellular systems and has the potential to be extended to in vivo studies as well.

Indexed as

Cell CommunicationAdipocytesCell LineCoculture TechniquesExtracellular VesiclesGene ExpressionGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansMacrophagesRNA, MessengerRNA TransportSequence Analysis, RNARNA, MessengerAdipocytesBayesian methodCell-to-cell communicationExosomeExtracellular RNA (exRNA)MacrophagesRNA-seq

Identifiers

PMID29273013
PMCPMC5741891
OpenAlexW2778092123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.