Advances in Direct Cell Reprogramming and CRISPR Functional Genomics

A growing body of research links direct cell-reprogramming strategies with genome-scale CRISPR screening to delineate the circuitry that sustains pluripotency and drives cell-fate transitions. Wang, Yang, Liu & Qian (2021) reviewed the mechanistic landscape of direct reprogramming, while Jia, Yu & Guan (2024) highlighted regulatory pathways governing pluripotency fate in embryonic stem cells (ESCs). Parallel efforts have applied CRISPR-based functional genomics to human pluripotent-stem-cell-derived lineages (Li et al., 2023) and identified pluripotency-specific genes (Ihry et al., 2019). Together, these studies illustrate a convergent platform that combines transcription-factor atlases, optimized sgRNA libraries, and single-cell readouts to map essential regulators of stem-cell identity.

Nature

Early CRISPR screening frameworks such as Perturb-Seq (Dixit et al., 2016) and pooled CRISPR-single-cell RNA-seq platforms (Jaitin et al., 2016; Datlinger et al., 2017) established scalable methods for linking genotype to transcriptomic phenotype. Subsequent refinements—optimized sgRNA design (Doench et al., 2016), multiplexed CRISPRi libraries (Sanson et al., 2018), and improved vectors (Sanjana et al., 2014)—enhanced on-target activity while reducing off-target effects. The reference human induced pluripotent stem cell (iPSC) line for collaborative studies (Pantazis et al., 2022) and harmonized single-cell perturbation datasets (Peidli et al., 2024) have further standardized experimental pipelines.

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Key contributors include the Wang et al. group (direct reprogramming), the Li et al. laboratory (CRISPR screens in pluripotent derivatives), and the Tsherniak et al. Cancer Dependency Map consortium (Arafeh et al., 2025). The Rood, Hupalowska & Regev team is assembling a Perturbation Cell and Tissue Atlas (2024), while Booeshaghi, Galvez-Mérchan & Pachter develop algorithms for a commons cell atlas (2024). Methodological tools such as MAGeCK (Li et al., 2014) and scPerturb (Peidli et al., 2024) are widely adopted across these efforts.

Nature

Combined approaches now routinely employ genome-wide CRISPR knockout, CRISPRi, and CRISPR activation screens in ESCs and iPSCs, coupled with single-cell RNA-seq to resolve cell-type-specific responses. For example, Usluer et al. (2023) used whole-genome CRISPRi to uncover ARID1A-dependent growth regulators in iPSCs, while Ihry et al. (2019) identified a set of pluripotency-specific genes via loss-of-function screens. Complementary proteomic pipelines—orthogonal protease digestion (Fossati et al., 2021) and size-exclusion chromatography–mass spectrometry (Fossati et al., 2021)—provide quantitative validation of transcriptional findings.

Nature

Multiple studies converge on core regulators: OCT4 integrates epigenetic pathways (Ding et al., 2012) and synergizes with ?-catenin (Kelly et al., 2011) to reinforce the pluripotent network. Metabolic reprogramming influences epigenetic states (Ryall et al., 2015; Mathieu & Ruohola-Baker, 2017). DNA methylation maintenance by UHRF1 (Bostick et al., 2007) and mTOR signaling (Saxton & Sabatini, 2017) further modulate stem-cell dynamics. RNA editing enzymes (ADARs) and debranching enzyme Dbr1 (Buerer et al., 2024) have been implicated in innate immune regulation and transcriptome remodeling during differentiation.

Nature

Despite extensive mapping, several mechanistic links remain unresolved. The precise interplay between metabolic cues, RNA editing, and chromatin remodeling in reprogramming trajectories lacks comprehensive quantitative models. Ongoing initiatives—such as the Perturbation Cell and Tissue Atlas and the commons cell atlas algorithms—aim to integrate multi-omics perturbation data across diverse lineages, enabling systematic prediction of factor combinations that achieve efficient, lineage-specific reprogramming. Continued development of high-fidelity CRISPR tools and standardized single-cell pipelines will be essential to close these knowledge gaps.

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