Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 Mar 1;4:265. doi: 10.1038/s42003-021-01797-9

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Fig. 5 — a Schematic workflow of SOP-MS analysis of single cells derived from a PCDX model. CTCs from a breast cancer patient (NU-205) were isolated and implanted into NSG mouse mammary fat pads to generate the PCDX-205 mouse. The PCDX was verified (Supplementary Fig. 5) and transduced to express Luc2-tdTomato (L2T). Labeled primary PCDX and lungs were harvested for tissue dissociation and single-cell sorting. L2T⁺ single cells from the primary tumor and lung metastases were collected individually into single well of a 96-well PRC plate for SOP-MS analysis. b Total number of unique peptides and protein groups identified by the combined MS/MS and MBR across all 10 single lung metastatic cells or 10 single primary tumor cells, and the number of protein groups identified by the combined MS/MS and MBR for each single lung metastatic cells or single primary tumor cells. c Heatmap showing the total XIC peak area for each protein group identified by the MaxQuant MBR from either the 10 single primary tumor cells or the 10 single lung metastatic cells. d PCA analysis based on label-free quantification of proteins expressed in single cells from primary tumor and lung metastasis (10 single cells for each cell type). e Heatmap showing 18 differentially expressed proteins between single cells from primary tumor and lung metastasis. f Bar chart for pathway annotation. The bars represent the annotated pathways within proteins significantly expressed between two types of single cells. g Box plots showing the normalized expression levels of VIM (left) and S100A9 (right) between single lung metastatic cells and single primary tumor cells by using SOP-MS (10 single cells per cell type). h Immunohistochemistry (IHC) images of primary tumors and lung metastases, stained for VIM (top) and S100A9 (bottom). Arrows indicate representative, positive staining tumor cells. Scale bar = 50 µm.