Evidence map›Paper›PMID 34521352›Full record

ArticleBMC genomic data2021

The choice of negative control antisense oligonucleotides dramatically impacts downstream analysis depending on the cellular background.

Luca Ducoli, Saumya Agrawal, Chung-Chau Hon, Jordan A Ramilowski, Eliane Sibler, Michihira Tagami, Masayoshi Itoh, Naoto Kondo, Imad Abugessaisa, Akira Hasegawa and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomic data, 2021. 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
0.1field-weighted citation impact, top 61% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

16 authors at 5 institutions in 4 countries.

Luca Ducoli *Institute of Pharmaceutical Sciences, Swiss Federal Institute of Technology (ETH) Zurich, Vladimir-Prelog-Weg 3, 8093, Zurich, Switzerland.
Saumya Agrawal *RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Chung-Chau HonRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Jordan A RamilowskiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Eliane SiblerInstitute of Pharmaceutical Sciences, Swiss Federal Institute of Technology (ETH) Zurich, Vladimir-Prelog-Weg 3, 8093, Zurich, Switzerland.
Michihira TagamiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Masayoshi ItohRIKEN Preventive Medicine and Diagnosis Innovation Program, RIKEN Center for Life Science Technologies, Yokohama, Kanagawa, 230-0045, Japan.
Naoto KondoRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Imad AbugessaisaRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Akira HasegawaRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Takeya KasukawaRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Harukazu SuzukiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Piero CarninciRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Jay W ShinRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Michiel J L de HoonRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan.
Michael DetmarInstitute of Pharmaceutical Sciences, Swiss Federal Institute of Technology (ETH) Zurich, Vladimir-Prelog-Weg 3, 8093, Zurich, Switzerland. michael.detmar@pharma.ethz.ch.
CE Technologies (United Kingdom) · GBRIKEN Center for Integrative Medical Sciences · JPETH Zurich · CHHuman Technopole · ITUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lymphatic and the blood vasculature are closely related systems that collaborate to ensure the organism's physiological function. Despite their common developmental origin, they present distinct functional fates in adulthood that rely on robust lineage-specific regulatory programs. The recent technological boost in sequencing approaches unveiled long noncoding RNAs (lncRNAs) as prominent regulatory players of various gene expression levels in a cell-type-specific manner.

resultsTo investigate the potential roles of lncRNAs in vascular biology, we performed antisense oligonucleotide (ASO) knockdowns of lncRNA candidates specifically expressed either in human lymphatic or blood vascular endothelial cells (LECs or BECs) followed by Cap Analysis of Gene Expression (CAGE-Seq). Here, we describe the quality control steps adopted in our analysis pipeline before determining the knockdown effects of three ASOs per lncRNA target on the LEC or BEC transcriptomes. In this regard, we especially observed that the choice of negative control ASOs can dramatically impact the conclusions drawn from the analysis depending on the cellular background.

conclusionIn conclusion, the comparison of negative control ASO effects on the targeted cell type transcriptomes highlights the essential need to select a proper control set of multiple negative control ASO based on the investigated cell types.

Indexed as

AdultEndothelial CellsGene Knockdown TechniquesHumansLymphatic SystemOligonucleotides, AntisenseOrgan SpecificityRNA, Long NoncodingTranscriptomeOligonucleotides, AntisenseRNA, Long NoncodingAntisense oligonucleotideASOCAGE-SeqCap analysis of gene expressionlncRNALong noncoding RNA

Identifiers

PMID34521352
PMCPMC8439024
OpenAlexW3199672583

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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.