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Kvastad, L., Carlberg, K., Larsson, L., Villacampa, E. G., Stuckey, A., Stenbeck, L., . . . Lundeberg, J. (2021). The spatial RNA integrity number assay for in situ evaluation of transcriptome quality. Communications Biology, 4(1), Article ID 57.
Open this publication in new window or tab >>The spatial RNA integrity number assay for in situ evaluation of transcriptome quality
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2021 (English)In: Communications Biology, E-ISSN 2399-3642, Vol. 4, no 1, article id 57Article in journal (Refereed) Published
Abstract [en]

The RNA integrity number (RIN) is a frequently used quality metric to assess the completeness of rRNA, as a proxy for the corresponding mRNA in a tissue. Current methods operate at bulk resolution and provide a single average estimate for the whole sample. Spatial transcriptomics technologies have emerged and shown their value by placing gene expression into a tissue context, resulting in transcriptional information from all tissue regions. Thus, the ability to estimate RNA quality in situ has become of utmost importance to overcome the limitation with a bulk rRNA measurement. Here we show a new tool, the spatial RNA integrity number (sRIN) assay, to assess the rRNA completeness in a tissue wide manner at cellular resolution. We demonstrate the use of sRIN to identify spatial variation in tissue quality prior to more comprehensive spatial transcriptomics workflows. Kvastad et al. develop the spatial RNA Integrity Number (sRIN) assay that evaluates the RNA integrity at cellular resolution. This method improves the resolution of a similar method called the RNA Integrity Number (RIN), demonstrating spatial variation in the quality of RNA samples.

Place, publisher, year, edition, pages
Springer Nature, 2021
National Category
Biochemistry Molecular Biology
Identifiers
urn:nbn:se:kth:diva-289901 (URN)10.1038/s42003-020-01573-1 (DOI)000608285700015 ()33420318 (PubMedID)2-s2.0-85098933855 (Scopus ID)
Note

QC 20210212

Available from: 2021-02-12 Created: 2021-02-12 Last updated: 2026-01-26Bibliographically approved
Leong, I. U. S., Stuckey, A., Ahanian, T., Cederlof, M. & Wikstrom, J. D. (2017). Novel mutations in Darier disease and association to self-reported disease severity. PLOS ONE, 12(10), Article ID e0186356.
Open this publication in new window or tab >>Novel mutations in Darier disease and association to self-reported disease severity
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2017 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 12, no 10, article id e0186356Article in journal (Refereed) Published
Abstract [en]

Darier disease is a rare and severe autosomal dominant skin disease characterised by malodorous keratotic papules in seborrheic areas of the skin. Darier disease affects up to 1 in 30 000 people and is caused by mutations in the ATP2A2 gene, which encodes to the sarco/endoplasmic reticulum calcium-ATPase isoform 2 that pumps calcium into the endoplasmic reticulum. Although many ATP2A2 variants have been described, it is not known if genotype correlates with phenotype, which could be important for prognosis and treatment. This is the first study to use whole exome sequencing to screen the ATP2A2 gene in a cohort of 28 clinically diagnosed Darier disease patients. Twenty-one different disease causing variants were identified and 15 of these were novel. Sixteen of the 21 variants were predicted to be pathogenic using in silico prediction programs. There were seven missense, four intronic/splice-sites, three frameshifts, two in-frame deletions, four nonsense and one synonymous mutations. This study also found ten patients who harbour more than one ATP2A2 variant. The phenotype of the patient cohort was assessed by photography and by patient questionnaires. The genotype-phenotype association was examined for all variants in relation to the patient's disease severity score, and no correlation could be established.

Place, publisher, year, edition, pages
PUBLIC LIBRARY SCIENCE, 2017
National Category
Clinical Medicine
Identifiers
urn:nbn:se:kth:diva-217034 (URN)10.1371/journal.pone.0186356 (DOI)000412980300028 ()29028823 (PubMedID)2-s2.0-85031330788 (Scopus ID)
Note

QC 20171106

Available from: 2017-11-06 Created: 2017-11-06 Last updated: 2025-02-18Bibliographically approved
Asp, M., Borgström, E., Stuckey, A., Gruselius, J., Carlberg, K., Andrusivova, Z., . . . Lundeberg, J.Spatial Isoform Profiling within Individual Tissue Sections.
Open this publication in new window or tab >>Spatial Isoform Profiling within Individual Tissue Sections
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Spatial Transcriptomics has been shown to be a persuasive RNA sequencing

technology for analyzing cellular heterogeneity within tissue sections. The

technology efficiently captures and barcodes 3’ tags of all polyadenylated

transcripts from a tissue section, and thus provides a powerful platform when

performing quantitative spatial gene expression studies. However, the current

protocol does not recover the full-length information of transcripts, and

consequently lack information regarding alternative splice variants. Here, we

introduce a novel protocol for spatial isoform profiling, using Spatial

Transcriptomics barcoded arrays.

National Category
Biological Sciences
Research subject
Biotechnology
Identifiers
urn:nbn:se:kth:diva-235650 (URN)
Note

QC 20181002

Available from: 2018-10-01 Created: 2018-10-01 Last updated: 2022-10-24Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8636-737x

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