Evidence map›Paper›PMID 35198871›Full record

ArticleiScience2022

TRACE-seq: A transgenic system for unbiased and non-invasive transcriptome profiling of living cells.

François Cherbonneau, Guoping Li, Priyanka Gokulnath, Parul Sahu, Aurore Prunevieille, Robert Kitchen, Gilles Benichou, Jérôme Larghero, Ibrahim Domian, Saumya Das

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2022. 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
0.6field-weighted citation impact, top 37% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

10 authors at 2 institutions in 2 countries.

François CherbonneauUniversité de Paris, AP-HP, Hôpital Saint-Louis, Unité de Thérapie Cellulaire, U976, CICBT CBT501, INSERM, Paris, France.
Guoping LiCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd.) Floor, Boston, MA 02114, USA.
Priyanka GokulnathCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd.) Floor, Boston, MA 02114, USA.
Parul SahuCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd.) Floor, Boston, MA 02114, USA.
Aurore PrunevieilleUniversité de Paris, AP-HP, Hôpital Saint-Louis, Human Immunology and Immunopathology, UMR976, INSERM, Paris, France.
Robert KitchenCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd.) Floor, Boston, MA 02114, USA.
Gilles BenichouTransplant Research Center, Department of Surgery, Center for Transplantation Sciences, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Jérôme LargheroUniversité de Paris, AP-HP, Hôpital Saint-Louis, Unité de Thérapie Cellulaire, U976, CICBT CBT501, INSERM, Paris, France.
Ibrahim DomianCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd.) Floor, Boston, MA 02114, USA.
Saumya DasCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd.) Floor, Boston, MA 02114, USA.
Harvard University · USInserm · FR

Funding

Functional role and therapeutic targeting of exosomes and extracellular RNA biomarkers in heart failureR35HL150807 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Saumya Das · 2020 to 2026
$6.7M
The Role of Cardiomyocyte Polarity in Cardiac MorphogenesisR01HL130391 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI DOMIAN, IBRAHIM J · 2016 to 2019
$1.7M
NHLBI NIH HHS R01 HL130391NHLBI NIH HHS R35 HL150807
6 · The paper itself

Abstract

Dynamic profiling of changes in gene expression in response to stressors in specific microenvironments without requiring cellular destruction remains challenging. Current methodologies that seek to interrogate gene expression at a molecular level require sampling of cellular transcriptome and therefore lysis of the cell, preventing serial analysis of cellular transcriptome. To address this area of unmet need, we have recently developed a technology allowing transcriptomic analysis over time without cellular destruction. Our method, TRACE-seq (TRanscriptomic Analysis Captured in Extracellular vesicles using sequencing), is characterized by a cell-type specific transgene expression. It provides data on the transcriptome inside extracellular vesicles that provides an accurate representation of stress-responsive cellular transcriptomic changes. Thus, the transcriptome of cells expressing TRACE can be followed over time without destroying the source cell, which is a powerful tool for many fields of fundamental and translational biology research.

Indexed as

Cell biologyOmicsTranscriptomics

Identifiers

PMID35198871
PMCPMC8844816
OpenAlexW4210374335

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.