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Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples

Mirzazadeh, Reza (author)
KTH,Science for Life Laboratory, SciLifeLab,Genteknologi
Andrusivova, Zaneta (author)
KTH,Science for Life Laboratory, SciLifeLab,Genteknologi
Larsson, Ludvig (author)
KTH,Genteknologi,Science for Life Laboratory, SciLifeLab
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Newton, Phillip T (author)
Karolinska Institutet
Galicia, Leire Alonso (author)
KTH,Genteknologi,Science for Life Laboratory, SciLifeLab
Abalo, Xesús M (author)
KTH,Genteknologi,Science for Life Laboratory, SciLifeLab
Avijgan, Mahtab (author)
Karolinska Institutet
Kvastad, Linda (author)
KTH,Science for Life Laboratory, SciLifeLab,Genteknologi
Denadai-Souza, Alexandre (author)
Department of Chronic Diseases and Metabolism, Katholieke Universiteit te Leuven, Leuven, Belgium
Stakenborg, Nathalie (author)
Department of Chronic Diseases and Metabolism, Katholieke Universiteit te Leuven, Leuven, Belgium
Firsova, Alexandra B. (author)
Stockholms universitet,Science for Life Laboratory (SciLifeLab),Institutionen för molekylär biovetenskap, Wenner-Grens institut
Shamikh, Alia (author)
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
Jurek, Alexandra (author)
10x Genomics, Stockholm, Sweden
Schultz, Niklas (author)
Karolinska Institutet
Nistér, Monica (author)
Karolinska Institutet
Samakovlis, Christos, 1962- (author)
Stockholms universitet,Institutionen för molekylär biovetenskap, Wenner-Grens institut,Science for Life Laboratory (SciLifeLab)
Boeckxstaens, Guy (author)
Department of Chronic Diseases and Metabolism, Katholieke Universiteit te Leuven, Leuven, Belgium
Lundeberg, Joakim (author)
KTH,Science for Life Laboratory, SciLifeLab,Genteknologi
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 (creator_code:org_t)
2023-01-31
2023
English.
In: Nature Communications. - : Springer Nature. - 2041-1723. ; 14:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Spatially resolved transcriptomics has enabled precise genome-wide mRNA expression profiling within tissue sections. The performance of methods targeting the polyA tails of mRNA relies on the availability of specimens with high RNA quality. Moreover, the high cost of currently available spatial resolved transcriptomics assays requires a careful sample screening process to increase the chance of obtaining high-quality data. Indeed, the upfront analysis of RNA quality can show considerable variability due to sample handling, storage, and/or intrinsic factors. We present RNA-Rescue Spatial Transcriptomics (RRST), a workflow designed to improve mRNA recovery from fresh frozen specimens with moderate to low RNA quality. First, we provide a benchmark of RRST against the standard Visium spatial gene expression protocol on high RNA quality samples represented by mouse brain and prostate cancer samples. Then, we test the RRST protocol on tissue sections collected from five challenging tissue types, including human lung, colon, small intestine, pediatric brain tumor, and mouse bone/cartilage. In total, we analyze 52 tissue sections and demonstrate that RRST is a versatile, powerful, and reproducible protocol for fresh frozen specimens of different qualities and origins. 

Subject headings

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
NATURVETENSKAP  -- Annan naturvetenskap (hsv//swe)
NATURAL SCIENCES  -- Other Natural Sciences (hsv//eng)

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