: A robust system allows for detailed customization of employee clothing, including a "Dress Code Policy" that sets minimum sluttiness requirements for different departments. Technical Information and Installation
| Period | Key Milestones | Dominant Paradigm | |--------|----------------|-------------------| | | Discovery of the rat as a model for disease (e.g., tuberculosis, diabetes). | Descriptive physiology – rats served as convenient, inexpensive organisms. | | Mid‑20th c. | Development of inbred strains (e.g., Wistar, Sprague‑Dawley). | Standardization – focus on reproducibility through genetic uniformity. | | 1970s‑1990s | Introduction of knockout technology, behavioral assays, and the 3Rs (Replacement, Reduction, Refinement). | Molecular biology – rats become platforms for gene‑function studies. | | Early 2000s | Genome sequencing of the rat (2004) and emergence of CRISPR‑Cas9. | Genomic editing – precise manipulation of disease‑relevant loci. | | 2010s‑Present | Creation of humanised rat models, organ‑on‑chip integration, and AI‑driven phenotyping. | Translational convergence – rats bridge in vitro systems and human clinical data. | labrats2-reformulate
“LabRats 2” is not merely a label; it marks a pivotal transition from the blunt, one‑size‑fits‑all use of rats toward a nuanced, ethically attuned, technologically sophisticated framework. By embracing the 3Rs in concrete practice, leveraging genome‑editing and AI‑driven phenotyping, and institutionalizing reproducibility safeguards, the scientific community can extract maximal knowledge while minimizing animal suffering. The reforms outlined—policy mandates, accreditation systems, and open‑science incentives—provide a roadmap for sustaining this momentum. : A robust system allows for detailed customization
LabRats2-Reformulate is not a panacea. It requires a PI willing to relinquish absolute control. It requires a critical mass of members who trust the system enough to log their mistakes. And it fails in labs with toxic, publish-or-perish cultures. But for labs that are tired of repeating the same errors and losing brilliant people to industry, reformulation offers a way out. | | Mid‑20th c