Stanford researchers have developed a scalable assay that combines single-molecule nucleic acid imaging with single-cell sequencing, enabling the enrichment and detailed study of rare cell populations in complex biological samples.
Stanford researchers have discovered RNA signatures that can be used to predict patient outcomes and identify optimal treatments in acute myeloid leukemia.
A new deep-learning system called Atomic Rotationally Equivariant Scorer (ARES) significantly improves the prediction of RNA structures over previous artificial intelligence (AI) models.
Stanford researchers have developed improved methods for producing mRNAs. Efficient, robust and high fidelity production of mRNAs is critical for obtaining pharmaceutical quality vaccines, viruses and expression constructs, and for eliminating noise due to batch variation.
Stanford researchers have developed improved methods for producing mRNAs. Efficient, robust and high fidelity production of mRNAs is critical for obtaining pharmaceutical quality vaccines, viruses and expression constructs, and for eliminating noise due to batch variation.
Liquid biopsies have emerged as a groundbreaking approach in cancer diagnostics, enabling the detection of DNA shed by cancer cells through a simple blood test. However, cancer cells also shed RNA into the blood.
Stanford Medicine's Ji Research Group has developed a simple, quantitative method for detecting and characterizing gene fusions that uses DNA rather than RNA as analyte.
Cell culture is a central technique used for a plethora of research applications including in the modeling of complex diseases, creating transgenic animals, gene therapy, cell therapy, regenerating lost tissue, and organ biogenesis.
Stanford researchers have developed novel viral markers from tomato brown rugose fruit virus (ToBRFV). The marker is a good indicator of 1) environmental fecal contamination, 2) fecal load in wastewater, and 3) internal control for viral RNA extraction from stool.
Researchers at Stanford University have developed a scalable, single-cell barcoding system and method for genomic editing and tracking using cas12a-based compressive molecular probes.
Stanford researchers have developed a framework describing an end-to-end approach that infers experimental properties directly from nucleic acid sequence, using a principled statistical mechanical representation of the structure ensemble.
Researchers at Stanford, funded in part by the Chan Zuckerberg Biohub, have developed Click-PD, a framework for the customizable generation of non-natural, base-modified aptamer libraries with diverse chemical modifications.
Stanford researchers have developed one of the smallest, active translational enhancers that can be adapted to control gene regulation. The translation enhancer is a short RNA stem-loop structure isolated from a Hox gene.