TY - JOUR
T1 - Three-dimensional single-cell imaging for the analysis of RNA and protein expression in intact tumour biopsies
AU - Tanaka, Nobuyuki
AU - Kanatani, Shigeaki
AU - Kaczynska, Dagmara
AU - Fukumoto, Keishiro
AU - Louhivuori, Lauri
AU - Mizutani, Tomohiro
AU - Kopper, Oded
AU - Kronqvist, Pauliina
AU - Robertson, Stephanie
AU - Lindh, Claes
AU - Kis, Lorand
AU - Pronk, Robin
AU - Niwa, Naoya
AU - Matsumoto, Kazuhiro
AU - Oya, Mototsugu
AU - Miyakawa, Ayako
AU - Falk, Anna
AU - Hartman, Johan
AU - Sahlgren, Cecilia
AU - Clevers, Hans
AU - Uhlén, Per
PY - 2020/9
Y1 - 2020/9
N2 - Microscopy analysis of tumour samples is commonly performed on fixed, thinly sectioned and protein-labelled tissues. However, these examinations do not reveal the intricate three-dimensional structures of tumours, nor enable the detection of aberrant transcripts. Here, we report a method, which we name DIIFCO (for diagnosing in situ immunofluorescence-labelled cleared oncosamples), for the multimodal volumetric imaging of RNAs and proteins in intact tumour volumes and organoids. We used DIIFCO to spatially profile the expression of diverse coding RNAs and non-coding RNAs at the single-cell resolution in a variety of cancer tissues. Quantitative single-cell analysis revealed spatial niches of cancer stem-like cells, and showed that the niches were present at a higher density in triple-negative breast cancer tissue. The improved molecular phenotyping and histopathological diagnosis of cancers may lead to new insights into the biology of tumours of patients.
AB - Microscopy analysis of tumour samples is commonly performed on fixed, thinly sectioned and protein-labelled tissues. However, these examinations do not reveal the intricate three-dimensional structures of tumours, nor enable the detection of aberrant transcripts. Here, we report a method, which we name DIIFCO (for diagnosing in situ immunofluorescence-labelled cleared oncosamples), for the multimodal volumetric imaging of RNAs and proteins in intact tumour volumes and organoids. We used DIIFCO to spatially profile the expression of diverse coding RNAs and non-coding RNAs at the single-cell resolution in a variety of cancer tissues. Quantitative single-cell analysis revealed spatial niches of cancer stem-like cells, and showed that the niches were present at a higher density in triple-negative breast cancer tissue. The improved molecular phenotyping and histopathological diagnosis of cancers may lead to new insights into the biology of tumours of patients.
KW - Animals
KW - Biomarkers, Tumor/genetics
KW - Biopsy
KW - Embryo, Mammalian/metabolism
KW - Humans
KW - Imaging, Three-Dimensional
KW - Immunohistochemistry
KW - In Situ Hybridization, Fluorescence
KW - Mice
KW - Multimodal Imaging
KW - Neoplasms/metabolism
KW - Phenotype
KW - RNA/metabolism
KW - Single-Cell Analysis
U2 - 10.1038/s41551-020-0576-z
DO - 10.1038/s41551-020-0576-z
M3 - Article
C2 - 32601394
SN - 0090-6964
VL - 4
SP - 875
EP - 888
JO - Annals of Biomedical Engineering
JF - Annals of Biomedical Engineering
IS - 9
ER -