(Imaging conditions: H2B-mCherry 594 nm Ex, 610 LP Em; H2B-GFP 488 nm Ex and 497C554 nm Em). (85K) GUID:?228BFBB9-EF21-4E19-8361-F080A40AC246 Supplementary file 3: Comprises of an .xlsx file with 20 sheets, one for each acinus analyzed, and contains the x,y,z coordinates for each cell in the respective acinus at the end of the SPIM recording. This file was input into the source code to carry out the acinus feature analysis described in Figure 4b and Figure 4figure supplement 1. elife-54066-supp3.xlsx (106K) GUID:?4EAF58D9-0948-4F1C-BE12-8B3CADA5FDDC Supplementary file 4: Comprises of an .xlsx file with 20 sheets, one for each acinus analyzed, and contains the label for each transduced cell (corresponding to the labels in Supplementary file 2) in the ICI 118,551 hydrochloride respective acinus at the beginning of the SPIM recording. This file was input into the source code to carry out the acinus feature analysis described in Figure 4b and Figure 4figure supplement 1. elife-54066-supp4.xlsx (23K) GUID:?072F3A48-1D58-4B46-9028-F5B803724B26 Transparent reporting form. elife-54066-transrepform.docx (250K) GUID:?034B88E6-7A64-4965-9487-AFCDA54E54AB Data Availability Statement1) Entire image recordings (movies) of time-lapse panels in Figure 3a and 3b (3 Video files in total) have been provided as supplementary movie files. 2) We have uploaded the code for the Feature analysis of the nine acinar features described in Figure 4, as source code file “Feature_Analysis.Rmd”. Refer to Supplement file 1 and Online Materials and Methods ICI 118,551 hydrochloride section for analysis summary. 3) We have uploaded the html file describing the source code as Supplementary file 1. 4) Three. xlsx files with 20 sheets each, one sheet for each acinus analyzed are provided as Supplementary files 2, 3, and 4. These contain the x,y,z coordinates for each cell in the respective acinus at the beginning of the SPIM recording (Supplementary file 2) and at the end (Supplementary file 3). Supplementary File 4 contains the “label” for each transduced cell (corresponding to the labels in Supplement File 2) for the acini at the beginning of the SPIM recording. These. xlsx files were input into the source code to carry out the acinus feature analysis described in Figure 4b and Figure 4 – figure supplement 1. 4) We have deposited the original imaging data for all acini recorded and analyzed (20 mammary acini) at the BioStudies archive at EMBL-EBI (https://www.ebi.ac.uk/biostudies/studies/S-BIAD13). A total of 390-450. h5 image files recorder from 2 channels on the microscope are uploaded for each acini (10 minute time intervals). Raw image data from the microscope was cropped to remove empty pixels, binned in x,y (3,3) and converted to 8-bit images using Big Data Processor Fiji Plug in (http://doi.org/10.5281/zenodo.2574702). This data repository also contains video files generated via Imaris for each acinus, showing fluorescence SPIM ICI 118,551 hydrochloride miscropscopy data Rabbit polyclonal to PELI1 (pre-processed raw files available in respective folders) in 2-color 3D projections (mcherry- magenta; GFP- green) for observing visual phenotypes. The following datasets were generated: Tischer C, Norlin ICI 118,551 hydrochloride N, Pepperkok R. 2019. BigDataProcessor: Fiji plugin for big image data inspection and processing. Zenodo. [CrossRef] Alladin A, Chaible L, Garcia del Valle L, Sabine R, Loeschinger M, Wachsmuth M, Hrich J-K, Tischer C, Jechlinger M. 2020. Tracking the cells of tumor origin in breast organoids by light sheet microscopy – SPIM movie data. BioStudies. S-BIAD13 Abstract Cancer clone evolution takes place within tissue ecosystem habitats. But, how exactly tumors arise from a few malignant cells within an intact epithelium is a central, yet unanswered question. This is mainly due to the inaccessibility of this process to longitudinal imaging together with a lack of systems that model the progression of a fraction of transformed cells within a tissue. Here, we developed a new methodology based on primary mouse mammary epithelial acini, where oncogenes can be switched on in single cells within an otherwise normal epithelial cell layer. We combine this stochastic breast tumor induction model with inverted light-sheet imaging to study single-cell behavior for up to four days and analyze cell fates utilizing a newly developed image-data analysis workflow. The power of this ICI 118,551 hydrochloride integrated approach is illustrated by us finding that small local clusters of transformed cells form tumors while isolated transformed cells do not. and (the rodent homolog for the human gene used in this mouse model)C are under the control of a Tet-O promoter that can only be activated in the presence of the rtTA (reverse tetracycline-controlled transactivator) protein and the doxycycline compound. This three-part inducible system allows for temporal control of oncogenic expression by regulating doxycycline in the medium or animal diet and spatial control by the MMTV promoter that confines expression of the rtTA protein to the cells of the mammary lineage (Bockamp et al., 2002). We modify this tissue wide tumorigenesis model (tri-transgenic (T).
