MarxV. Method of the year: spatially resolved transcriptomics. Nature Methods 18:9–14 (2021).
2.
LiX., WangC-Y. From bulk, single-cell to spatial RNA sequencing. International Journal of Oral Science, 13(1):36. (2021).
3.
BormL.E., AlbiachA.M., MannensC.C.A, et al.Scalable in situ single-cell profiling by electrophoretic capture of mRNA. bioRxiv (2022). doi: https://doi.org/10.1101/2022.01.12.476082
4.
WinklerE.A., KimC.N., RossJ.M., et al.A single-cell atlas of the normal and malformed human brain vasculature. Science, 375(6584): eabi7377. (2022).
5.
Garcia-AlonsoL., HandfieldL-F., RobertsK., et al.Mapping the temporal and spatial dynamics of the human endometrium in vivo and in vitro. Nature, 53:1698–1711. (2021).
6.
Tavares-FerreiraD., ShiersS., RayP.R., et al.Spatial transcriptomics of dorsal root ganglia identifies molecular signatures of human nociceptors. Science Translational Medicine, 14(632):eabj8186. (2022).
7.
DikshitA., ZongH., AndersonC., et al.Simultaneous visualization of RNA and protein expression in tissue using a combined RNAscope™ in situ hybridization and immunofluorescence protocol. Methods in Molecular Biology, 2148:301–312. (2020).
8.
EmaneulG., HeJ. Using MERSCOPE to generate a cell atlas of the mouse brain that includes lowly expressed genes. Microscopy Today 29(6):16–19. (2021).
9.
BaoF., DengY., WanS., et al.Integrative spatial analysis of cell morphologies and transcriptional states with MUSE. Nature Biotechnology doi: 10.1038/s41587-022-01251-z (online ahead of print) (2022).
10.
ZengZ., LiY., LiY., et al.Statistical and machine learning methods for spatially resolved transcriptomics data analysis. Genome Biology, 23:83. (2022).
11.
G. ZhaoE., StoneM.R., RenX., et al.Spatial transcriptomics at subspot resolution with BayesSpace. Nature Biotechnology, 39:1375–1384. (2021).
12.
ChelebianE., AvenelC., KartasaloK., et al.Morphological features extracted by AI associated with spatial transcriptomics in prostate cancer. Cancers (Basel), 13(19):4837 (2021).
13.
YoosufN., NavarroJ.F., SalménF. et al.Identification and transfer of spatial transcriptomics signatures for cancer diagnosis. Breast Cancer Research, 22, 6 (2020).