ISP Platform powered by Geneformer: Framework for Cross-Species, Sequential, and Multi-Gene In Silico Perturbation Screens with Application to iPS Cell State Transitions

In silico perturbation (ISP) enables virtual genetic screens, prioritizing candidate regulators before costly wet-lab experiments. However, applying foundation models requires programming expertise. Here, we present the ISP Platform, that automates ISP powered by Geneformer without code execution. The platform enables cross-species analyses by independently selecting input species and human or mouse Geneformer models. The platform also implements sequential multi-gene ISP, in which each perturbation chains from the cell state produced by the preceding step. Using induced pluripotent stem cell (iPSC) datasets, the platform successfully performed cross-species analysis of human and mouse single cell-RNA (scRNA)-seq data. Screening all 24 permutations of the Yamanaka factors identified an optimal overexpression sequence that produced the highest shift toward the pluripotent state. Genome-wide knockdown screens prioritized key pluripotency regulators but revealed an asymmetric cross-species concordance. The human model effectively captured mouse pluripotency programs, whereas applying the mouse model to human cells yielded predominantly translation-related terms. Furthermore, a targeted pairwise overexpression screen nominated candidate modulators of the primed-to-naive transition beyond the conventional NANOG and KLF2 benchmark. Together, the ISP Platform provides a unified, accessible framework for three dimensions of in silico perturbation (cross-species, sequential, and multi-gene) to guide focused experimental validation and reduce exploratory animal use.