Biology subjects

Coppo, R.

Publications and source records attributed to Coppo, R..

3 recordsLinked to original sources

bioRxiv2025

IGF2BP3 is essential for the growth heterogeneity of colorectal adenoma cells by regulating MYC

Adenoma is a major precancerous lesion in colorectal cancer (CRC), and the adenoma-carcinoma sequence is a well-known multistep progression to CRC caused by the accumulation of genetic mutations. On the other hand, the non-genetic mechanisms in the adenoma-carcinoma sequence remain largely unknown. In this study, organoids were established from 31 colorectal adenomas from 19 patients. Some adenomas showed heterogeneity in the proliferative potential of single cells, and this heterogeneity was regulated by non-genetic mechanisms. IGF2BP3 was identified as a differentially expressed gene between organoids with different growth patterns. IGF2BP3 positively regulated MYC expression at the transcriptional level and negatively regulated it at the translational level. This promoted high proliferative potential with high levels of oxidative phosphorylation, while allowing cells to avoid MYC-induced cell death. IGF2BP3 affected the tumorigenicity of mouse adenomas in vivo. Intra-tumor heterogeneity in growth potential is acquired at the precancerous stage in the adenoma-carcinoma sequence of colorectal carcinogenesis, and IGF2BP3 plays an important role in regulating MYC levels. These findings provide new insights into the non-genetic regulation of adenomas during CRC development.

cancer biology↗

bioRxiv2022

Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT)

Although clinical applications represent the next challenge in single-cell genomics and digital pathology, we still lack computational methods to analyze single-cell and pathomics data to find sample level trajectories or clusters associated with diseases. This remains challenging as single-cell/pathomics data are multi-scale, i.e., a sample is represented by clusters of cells/structures and samples cannot be easily compared with each other. Here we propose PatIent Level analysis with Optimal Transport (PILOT). PILOT uses optimal transport to compute the Wasserstein distance between two individual single-cell samples. This allows us to perform unsupervised analysis at the sample level and uncover trajectories or cellular clusters associated with disease progression. We evaluate PILOT and competing approaches in single-cell genomics and pathomics studies involving various human diseases with up to 600 samples/patients and millions of cells or tissue structures. Our results demonstrate that PILOT detects disease-associated samples from large and complex single-cell and pathomics data. Moreover, PILOT provides a statistical approach to delineate non-linear changes in cell populations, gene expression, and tissue structures related to the disease trajectories supporting interpretation of predictions.

bioinformatics↗

bioRxiv2021

Distinct and interchangeable growing patterns in colorectal cancer stem-like cells are regulated by Musashi-1

The dynamic and heterogeneous features of cancer stem-like cells (CSCs) have been widely recognized, but their nongenetic cellular plasticity mechanisms remain elusive. By using colorectal cancer organoids, we phenotypically tracked their spheroid formation and growth capacity to a single-cell resolution, and we discovered that the spheroid-forming cells exhibit a heterogeneous growth pattern, consisting of slow- and fast-growing spheroids. The isolated fast-growing spheroids seem to preserve a dual-growing pattern through multiple passages, whereas the isolated slow-growing spheroids are restricted to a slow-growing pattern. Notably, the spheroids of both patterns were tumorigenic. Moreover, the expression of CSC markers varied among the subpopulations with different growth patterns. The isolated slow-growing spheroids adopted the dual-growing pattern by various extrinsic triggers, in which Musashi-1 plays a key role. The slow-growing fraction was resistant to chemotherapy, and its successful isolation can provide an in vitro platform allowing us to elucidate their role in drug resistance.

cancer biology↗