BMC Biology invites submissions to our Collection on Pluripotency, differentiation, and reprogramming. This Collection highlights the molecular and cellular mechanisms that establish, maintain, and relinquish pluripotency, drive differentiation in vivo and in vitro, and enable reprogramming, including natural reprogramming in vivo and experimentally induced reprogramming. We welcome work that links these processes to early embryonic organization and to applications in disease modelling, cell therapy, and regeneration. We particularly welcome studies on:
- Molecular determinants of pluripotency, lineage commitment and differentiation : transcription factor and signaling networks; chromatin/epigenetic and 3D genome regulation; metabolic and post‑transcriptional (RNA‑based) control; and niche/mechanical cues shaping lineage priming, competence windows, fate restriction, and stochastic vs deterministic outcomes, as well as mechanisms governing terminal differentiation, functional maturation, and long-term maintenance of cell identity.
- Reprogramming and developmental plasticity: identity flexibility in vivo (including adult tissue homeostasis and wound healing); dedifferentiation and fate switching; experimentally induced reprogramming (iPSC generation and direct lineage conversion); and mechanisms that stabilize, erase, or rewrite cell identity.
- Spatial organization of cell identity during patterning and morphogenesis: how populations of cells coordinate fate allocation across space and time to generate reproducible tissue architecture, linking gradients/positional information, boundary formation, cell sorting, collective behaviors, and shape change to morphogenesis and early organogenesis.
- Gene regulatory networks and systems control: GRN structure and dynamics; multi‑omic and computational reconstruction of developmental landscapes; network rewiring during pluripotency exit, differentiation, and reprogramming; quantitative or predictive models.
The Collection welcomes multidisciplinary studies across diverse model organisms and stem cell-based embryo models (such as blastoids and gastruloids) that advance understanding of these processes and support translational and disease‑relevant insights, including tissue engineering and regenerative medicine. Studies employing AI, machine learning, or computational modelling, broadly defined, will be considered if they are combined with complementary experimental analysis, offer significant insights into a biological process or are likely to be a useful resource to the field. For Methodology and Software manuscripts, authors should benchmark their approaches against existing methods to demonstrate an improvement over the current state of the art. Review articles are by invitation only. Authors are encouraged to send presubmission enquiries to bmcbiologyeditorial@biomedcentral.com.
This Collection supports and amplifies research related to SDG 3: Good Health and Well-Being.
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.