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Few of Europe's struggling young biotechs are likely to benefit from the latest ∼€107 ($154) million tranche of Innovative Medicines Initiative (IMI) funding.
Advances in immunology, a focus on human tissue and a dash of luck have given dermatologists several highly effective psoriasis therapies, of which Stelara is the latest. Ken Garber reports.
Mass cytometry dramatically enhances the dimensionality of fluorescence-based flow cytometry for phenotypic analysis of heterogeneous cell populations.
Widely applicable methods for mapping protein-RNA interactions by crosslinking achieve a resolution of ∼30–60 nucleotides. Zhang and Darnell analyze sites of mutation induced by the crosslinking to map binding at single-nucleotide resolution.
Prioritizing candidate biomarkers for verification remains a formidable obstacle to the translation of protein diagnostics to clinical applications. Whiteaker et al. assemble a multistage, targeted proteomics pipeline to relieve this bottleneck and use a mouse cancer model to demonstrate its analytical performance.
Rational strategies to prioritize candidate biomarkers should save resources and accelerate progress in diagnostics development. Addona et al. integrate proteomics into a pipeline for biomarker validation and use it to identify markers of cardiovascular injury in a scenario where patients serve as their own biological controls.
Reconstructing full-length transcripts from high-throughput RNA sequencing data is difficult without a reference genome sequence. Grabherr et al. describe Trinity, an algorithm for assembling full-length transcripts from short reads without first mapping the reads to a genome sequence.
Analyzing the dynamics of protein-protein interactions remains a key challenge in systems biology. Bisson et al. combine affinity purification with SRM mass spectrometry to monitor the assembly and dissolution of complexes containing the adaptor protein GRB2 after growth factor stimulation.
Nutiu et al. repurpose an Illumina sequencer to quantitatively measure binding affinities between protein and DNA. The data reveal the complex interdependency among binding motif positions and allow improved prediction of gene expression.
