@article {69854, title = {Combining spatial transcriptomics and ECM imaging in 3D for mapping cellular interactions in the tumor microenvironment.}, journal = {Cell Syst}, year = {2025}, month = {2025 Apr 09}, pages = {101261}, abstract = {

Tumors are complex ecosystems composed of malignant and non-malignant cells embedded in a dynamic extracellular matrix (ECM). In the tumor microenvironment, molecular phenotypes are controlled by cell-cell and ECM interactions in 3D cellular neighborhoods (CNs). While their inhibition can impede tumor progression, routine molecular tumor profiling fails to capture cellular interactions. Single-cell spatial transcriptomics (ST) maps receptor-ligand interactions but usually remains limited to 2D tissue sections and lacks ECM readouts. Here, we integrate 3D ST with ECM imaging in serial sections from one clinical lung carcinoma to systematically quantify molecular states, cell-cell interactions, and ECM remodeling in CN. Our integrative analysis pinpointed known immune escape and tumor invasion mechanisms, revealing several druggable drivers of tumor progression in the patient under study. This proof-of-principle study highlights the potential of in-depth CN profiling in routine clinical samples to inform microenvironment-directed therapies. A record of this paper{\textquoteright}s transparent peer review process is included in the supplemental information.

}, issn = {2405-4720}, doi = {10.1016/j.cels.2025.101261}, url = {https://doi.org10.1016/j.cels.2025.101261}, author = {Pentimalli, Tancredi Massimo and Schallenberg, Simon and Le{\'o}n-Peri{\~n}{\'a}n, Daniel and Legnini, Ivano and Theurillat, Ilan and Thomas, Gwendolin and Boltengagen, Anastasiya and Fritzsche, Sonja and Nimo, Jose and Ruff, Lukas and Dernbach, Gabriel and Jurmeister, Philipp and Murphy, Sarah and Gregory, Mark T and Liang, Yan and Cordenonsi, Michelangelo and Piccolo, Stefano and Coscia, Fabian and Woehler, Andrew and Karaiskos, Nikos and Klauschen, Frederick and Rajewsky, Nikolaus} } @article {69712, title = {Scalable image-based visualization and alignment of spatial transcriptomics datasets}, journal = {Cell Syst}, year = {2025}, month = {2025 Apr 17}, abstract = {

We present the "spatial transcriptomics imaging framework" (STIM), an imaging-based computational framework focused on visualizing and aligning high-throughput spatial sequencing datasets. STIM is built on the powerful, scalable ImgLib2 and BigDataViewer (BDV) image data frameworks and thus enables novel development or transfer of existing computer vision techniques to the sequencing domain characterized by datasets with irregular measurement-spacing and arbitrary spatial resolution, such as spatial transcriptomics data generated by multiplexed targeted hybridization or spatial sequencing technologies. We illustrate STIM{\textquoteright}s capabilities by representing, interactively visualizing, 3D rendering, automatically registering, and segmenting publicly available spatial sequencing data from 13 serial sections of mouse brain tissue and from 19 sections of a human metastatic lymph node. We demonstrate that the simplest alignment mode of STIM achieves human-level accuracy.

Preprint:\ www.biorxiv.org/content/early/2024/10/07/2021.12.07.471629

}, doi = {10.1016/j.cels.2025.101264}, url = {https://doi.org/10.1016/j.cels.2025.101264}, author = {Preibisch, Stephan and Innerberger, Michael and Le{\'o}n-Peri{\~n}{\'a}n, Daniel and Karaiskos, Nikos and Rajewsky, Nikolaus} } @article {69715, title = {Best practice standards for circular RNA research}, journal = {Nature Methods}, volume = {19}, year = {2022}, month = {05/2022}, pages = {1208 - 1220}, abstract = {

Circular RNAs (circRNAs) are formed in all domains of life and via different mechanisms. There has been an explosion in the number of circRNA papers in recent years; however, as a relatively young field, circRNA biology has an urgent need for common experimental standards for isolating, analyzing, expressing and depleting circRNAs. Here we propose a set of guidelines for circRNA studies based on the authors{\textquoteright} experience. This Perspective will specifically address the major class of circRNAs in Eukarya that are generated by a spliceosome-catalyzed back-splicing event. We hope that the implementation of best practice principles for circRNA research will help move the field forward and allow a better functional understanding of this fascinating group of RNAs.

}, issn = {1548-7091}, doi = {10.1038/s41592-022-01487-2}, url = {https://www.nature.com/articles/s41592-022-01487-2https://www.nature.com/articles/s41592-022-01487-2.pdfhttps://www.nature.com/articles/s41592-022-01487-2.pdfhttps://www.nature.com/articles/s41592-022-01487-2}, author = {Nielsen, Anne F. and Bindereif, Albrecht and Bozzoni, Irene and Hanan, Mor and Hansen, Thomas B. and Irimia, Manuel and Kadener, Sebastian and Kristensen, Lasse S. and Legnini, Ivano and Morlando, Mariangela and Jarlstad Olesen, Morten T. and Pasterkamp, R. Jeroen and Preibisch, Stephan and Rajewsky, Nikolaus and Suenkel, Christin and Kjems, J{\o}rgen} }