Marc W. Kirschner

The paper quantifies protein turnover in frog and fly embryos using 18O-water labeling and proteomics, revealing divergent strategies of maternal proteome inheritance.

The paper explores exploratory dynamics in biological processes, proposing mathematical frameworks like geometric distribution and random walks with resets to model search processes and their outcomes.

This paper introduces a computational pipeline combining image processing and machine learning to segment and quantify kidney tissue structures using Normalized Raman Imaging, achieving high segmentation performance.

This study shows that doxorubicin-induced senescent RPE-1 cells exhibit unbounded growth and proteome imbalance, revealing dynamic regulatory mechanisms rather than passive arrest.

The paper introduces a method to impute missing proteomics data using regularized regression and biological covariation, achieving high accuracy across multiple measurement modalities.

This paper introduces NoRI, a Raman imaging technique that enables quantitative, label-free analysis of kidney tissue, revealing sex-specific differences and dynamic changes in acute kidney injury.

This study identifies SREBP2 as a direct APC-AXIN1 substrate degraded via a β-catenin-independent pathway, regulating cholesterol metabolism and providing a target for APC-mutant colorectal cancer.

The paper proposes exploratory dynamics as a framework for understanding biological processes that achieve specific outcomes through repeated, random trajectories.

The paper analyzes proteome and phospho-proteome changes during Xenopus embryonic development, identifying key transitions in protein expression and phosphorylation patterns.

This study uses phosphoproteomics to analyze protein phosphorylation during Xenopus oocyte meiotic divisions, revealing key phosphorylation events and their roles in meiotic processes.

The paper identifies kinases critical for endothelial cell proliferation across multiple pro-angiogenic growth factors using a quantitative assay and kinome regression.

The paper investigates the role of Wnt11 family proteins in frog gastrulation, showing that their loss disrupts blastopore closure and endoderm internalization through effects on cell contractility and morphology.

The paper investigates maternal age effects on offspring longevity and male production in Daphnia magna, finding a reverse Lansing effect and linking it to lipid provisioning and mitochondrial quality.

The paper demonstrates that Axin1 and Axin2 form a nested feedback system providing regulatory versatility despite their functional redundancy in the Wnt pathway.

The paper investigates how an oncogenic mutation in β-catenin affects the Wnt pathway by altering phosphorylation and degradation mechanisms.

This paper introduces a new computational method for Quantitative Phase Microscopy to measure single-cell growth dynamics, revealing oscillatory growth patterns in mammalian cells.

The paper presents a dataset of kinase inhibitor profiles and introduces an improved method to identify key kinases involved in cellular phenotypes using quantitative assays and machine learning.

This study uses single-molecule imaging to analyze Dvl2 dynamics and oligomerization during Wnt pathway activation, showing increased oligomerization and dwell time upon Wnt3a stimulation.

This study uses quantitative proteomics to analyze protein expression changes across life phases of Daphnia pulex, revealing functional shifts in response to environmental stress.

The paper analyzes the genome and transcriptomes of jellyfish to identify genetic adaptations related to active predation and body plan development.

The paper presents a comprehensive characterization of protein dynamics in Xenopus laevis early development and provides a web-based resource for data exploration.

The paper quantifies protein and phospho-site dynamics during fertilization and meiotic exit in Xenopus eggs using mass spectrometry-based proteomics, revealing limited degradation and extensive dephosphorylation.

This study compares two mouse motor neuron differentiation protocols, showing that direct programming can reach the same final state through a different intermediate state with distinct gene expression.