Evidence map›Paper›PMID 27849009›Full record

ArticleScientific reports2016

An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries.

Anders Jemt, Fredrik Salmén, Anna Lundmark, Annelie Mollbrink, José Fernández Navarro, Patrik L Ståhl, Tülay Yucel-Lindberg, Joakim Lundeberg

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  5. Review
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  7. Review
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  9. Article
  10. Spatial Transcriptomics in Human Cardiac Tissue.International journal of molecular sciences · 2025
    Review
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  20. Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Anders JemtScience for Life Laboratory, Department of Gene Technology, Royal Institute of Technology, SE-106 91, Stockholm, Sweden.
Fredrik SalménScience for Life Laboratory, Department of Gene Technology, Royal Institute of Technology, SE-106 91, Stockholm, Sweden.
Anna LundmarkDepartment of Dental Medicine, Division of Periodontology, Karolinska Institutet, SE-141 04, Huddinge, Sweden.
Annelie MollbrinkScience for Life Laboratory, Department of Gene Technology, Royal Institute of Technology, SE-106 91, Stockholm, Sweden.
José Fernández NavarroScience for Life Laboratory, Department of Gene Technology, Royal Institute of Technology, SE-106 91, Stockholm, Sweden.
Patrik L StåhlDepartment of Cell and Molecular Biology, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
Tülay Yucel-LindbergDepartment of Dental Medicine, Division of Periodontology, Karolinska Institutet, SE-141 04, Huddinge, Sweden.
Joakim LundebergScience for Life Laboratory, Department of Gene Technology, Royal Institute of Technology, SE-106 91, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing the nucleic acid content of individual cells or specific biological samples is becoming increasingly common. This drives the need for robust, scalable and automated library preparation protocols. Furthermore, an increased understanding of tissue heterogeneity has lead to the development of several unique sequencing protocols that aim to retain or infer spatial context. In this study, a protocol for retaining spatial information of transcripts has been adapted to run on a robotic workstation. The method spatial transcriptomics is evaluated in terms of robustness and variability through the preparation of reference RNA, as well as through preparation and sequencing of six replicate sections of a gingival tissue biopsy from a patient with periodontitis. The results are reduced technical variability between replicates and a higher throughput, processing four times more samples with less than a third of the hands on time, compared to the standard protocol.

Indexed as

Automation, LaboratoryDNA Barcoding, TaxonomicGene LibraryGingivaRNAHumansPeriodontitisRNA

Identifiers

PMID27849009
PMCPMC5111054

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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.