FDA approves pioneering breast cancer drug that nips resistance in the bud https://t.co/1m9d6ZVBRI

A new class of biotech buyer is emerging, as frontier AI and big tech companies acquire early-stage biology foundational platforms. How do big tech acquisitions differ from traditional pharma exits, a...

Precise CRISPR-based DNA integration and editing remain challenging, largely because of insufficient control of the repair process. We find that repair at the genome–cargo interface is predictable by deep learning models and adheres to sequence-context-specific rules. On the basis of in silico predictions, we devised a strategy of base-pair tandem repeat repair arms matching microhomologies at double-strand breaks. These repeat homology arms promote frame-retentive cassette integration and reduce deletions both at the target site and within the transgene. We demonstrate precise integrations at 32 loci in HEK293T cells. Germline-transmissible transgene integration and endogenous protein tagging in Xenopus and adult mouse brains demonstrated precise integration during early embryonic cleavage and in nondividing, differentiated cells. Optimized repair arms also facilitated small edits for scarless single-nucleotide or double-nucleotide changes using oligonucleotide templates in vitro and

The FDA’s drive to reduce animal testing in drug development has coincided with a boom in AI-powered biosimulation techniques such as multi-agent virtual scientists and digital twins, while organoids ...

Spatially resolved CRISPR screening in vivo has been limited to small perturbation panels and subsets of protein-coding RNAs. We present Perturb-DBiT, a method for co-sequencing of spatial total RNA whole transcriptomes and single guide RNAs (sgRNAs) on the same tissue section in situ. In a human cancer metastatic colonization model, we applied large (80,000+) sgRNA panels across tumor colonies in multiple consecutive tissue sections alongside their corresponding total RNA transcriptomes. We linked perturbations affecting long noncoding RNA covariation, microRNA–mRNA interactions and distinct amino acid-specific tRNA alterations to tumor migration and growth. By integrating transcriptional pseudotime trajectories, we further observed the impact of perturbations on clonal dynamics and cooperation. In an immune-competent syngeneic mouse model, investigation of the tumor immune microenvironment indicated distinct, synergistic effects on immune infiltration and suppression. Perturb-DBiT pr

Cas13-based RNA effectors may enable dynamic, multiplexed and reversible gene regulation in bacteria. Yet, their widespread adoption is hindered by inherent cytotoxicity and collateral cleavage. Here we present a rational protein engineering strategy to generate attenuated Cas13d variants with tunable RNase activity through targeted truncation of flexible regions. This permits effective transcript knockdown while greatly reducing toxicity as reflected by a 2.2-fold higher growth optical density. By introducing proximal mismatches at the 5′ end of CRISPR RNA spacers, our system allows functional switching between translation inhibition, polycistronic mRNA degradation and IF3-fusion-based translation-level CRISPR activation. We demonstrate programmable, orthogonal and multiplexed regulation of individual genes within polycistronic mRNAs and synthetic circuits. Application to lycopene biosynthesis optimization shows robust pathway rewiring and improved yields alongside fine-tuned modulati

CRISPR–Cas effectors typically rely on RNA guides to recognize target sequences. In Cas12a, the protospacer adjacent motif on DNA engages conserved protein residues, triggering target binding and nuclease activation. Here we reprogram Cas12a into a DNA-guided, RNA-targeting effector. Exploiting protospacer-adjacent motif-dependent interaction, we engineer synthetic CRISPR DNA that engages Cas12a to form a functional deoxyribonucleoprotein complex, while repurposing solely RNA as the programmable target. Structural, biophysical and biochemical analyses reveal the molecular basis of this DNA-guided, RNA-targeting configuration and support an activation pathway distinct from that of canonical RNA-guided systems. DNA-guided Cas12a enables direct RNA detection and efficient intracellular RNA knockdown, establishing a modular activation architecture for CRISPR–Cas12a and expanding the design space for programmable RNA manipulation. Synthetic DNA guides (crDNA) reprogram Cas12a nucleases for

Cell-tagging strategies with DNA barcodes have enabled the analysis of clone size dynamics and clone-restricted transcriptomic landscapes in heterogeneous populations. However, isolating a target clone that displays a specific phenotype from a complex population remains challenging. Here we present a multi-kingdom genetic barcoding system, CloneSelect, which enables a target cell clone to be triggered to express a reporter gene for isolation through barcode-specific CRISPR base editing. In CloneSelect, cells are first stably tagged with DNA barcodes and propagated so that their subpopulation can be subjected to a given experiment. A clone that shows a phenotype or genotype of interest at a given time can then be isolated from the initial or subsequent cell pools stored during the experiment using CRISPR base editing. CloneSelect is scalable and compatible with single-cell RNA sequencing. We demonstrate the versatility of CloneSelect in human embryonic kidney 293T cells, mouse embryonic

TnpB is a diverse family of RNA-guided endonucleases associated with prokaryotic transposons. Because of their small size and putative evolutionary relationship to CRISPR–Cas12, TnpB enzymes hold great potential for genome editing. However, most TnpBs lack robust gene-editing activity. Here, we mapped comprehensive sequence–function landscapes of a TnpB ribonucleoprotein using deep mutational scanning and we discovered activating mutations in both the RNA and the protein. Leveraging the protein’s mutational landscape, we constructed a combinatorial library of activating mutations, from which we identified two enhanced TnpB variants. These variants increased editing in human cells, Nicotania benthamiana, pepper and rice. While editing efficiencies varied by target site, engineered variants achieved up to 55% insertion and deletion frequencies (a 50-fold increase over wild type) in N. benthamiana, surpassing ISYmu1 (<7%), AsCas12f-HKRA (<9%) and other compact editors. These finding

CRISPR–Cas enzymes must recognize a protospacer-adjacent motif (PAM) to edit a genomic site, greatly limiting the range of targetable sequences in a genome. Although engineering strategies to alter PAM specificity exist, they typically require labor-intensive, iterative experimentation. We introduce an evolution-informed deep learning model, Protein2PAM, to efficiently guide the design of Cas protein variants tailored to recognize specific PAMs. Trained on a dataset of over 45,000 CRISPR–Cas PAMs, Protein2PAM rapidly and accurately predicts PAM specificity directly from Cas proteins across type I, II and V CRISPR–Cas systems. Using in silico mutagenesis, the model identifies residues critical for PAM recognition in Cas9 without using structural information. We use Protein2PAM to computationally evolve Nme1Cas9, generating variants with broadened PAM recognition and up to a 50-fold increase in PAM cleavage rates compared to the wild type in vitro. Our machine learning approach allows Ca

The DNA-PKcs inhibitor AZD7648 enhances CRISPR–Cas9-directed homology-directed repair efficiencies, with potential for clinical utility, but its possible on-target consequences are unknown. We found that genome editing with AZD7648 causes frequent kilobase-scale and megabase-scale deletions, chromosome arm loss and translocations. These large-scale chromosomal alterations evade detection through typical genome editing assays, prompting caution in deploying AZD7648 and reinforcing the need to investigate multiple types of potential editing outcomes. A compound that enhances homology-directed repair in CRISPR editing leads to genome instability.