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Weiss, K. R.

Publications and source records attributed to Weiss, K. R..

3 recordsLinked to original sources

SNAP: Streamlined Nextflow Analysis Pipeline for Immunoprecipitation-Based Epigenomic Profiling of Circulating Chromatin

Epigenomic profiling of circulating chromatin is a powerful and minimally invasive approach for detecting and monitoring disease, but there are no bioinformatics pipelines tailored to the unique characteristics of cell-free chromatin. We present SNAP (Streamlined Nextflow Analysis Pipeline), a reproducible, scalable, and modular workflow specifically designed for immunoprecipitation-based methods for profiling cell-free chromatin. SNAP incorporates quality control metrics optimized for circulating chromatin, including enrichment score and fragment count thresholds, as well as direct estimation of circulating tumor DNA (ctDNA) content from fragment length distributions. It also includes SNP fingerprinting to enable sample identity verification. When applied to cfChIP-seq and cfMeDIP-seq data across multiple cancer types, SNAPs quality filters significantly improved classification performance while maintaining high data retention. Independent validation using plasma from patients with osteosarcoma confirmed the detection of tumor-associated epigenomic signatures that correlated with ctDNA levels and reflected disease biology. SNAPs modular architecture enables straightforward extension to additional cell-free immunoprecipitation-based assays, providing a robust framework to support studies of circulating chromatin broadly. SNAP is compatible with cloud and high-performance computing environments and is publicly available at https://github.com/prc992/SNAP/. Graphic Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/694452v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@47c734org.highwire.dtl.DTLVardef@674af8org.highwire.dtl.DTLVardef@16ae938org.highwire.dtl.DTLVardef@1f57a01_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Isotropic, aberration-corrected light sheet microscopy for rapid high-resolution imaging of cleared tissue

Light sheet microscopy is the ideal technique for multiscale imaging of large and cleared tissues, and it is desirable to achieve the highest possible isotropic resolution across the entire sample. However, isotropic resolution for a centimeter-sized sample has only been achieved with slow and often aberrated, axially scanned light sheets, resulting in a low resolution of several micrometers. Here, we introduce a compact, high-speed light sheet fluorescence microscope with isotropic sub-micron resolution optimized for cleared tissue. We introduce three major opto-mechanical innovations using off-the-shelf optics to achieve an isotropic resolution of 850 nm across samples up to 1 cm3 and refractive indices ranging from 1.33 to 1.56, using mechanical tiling with a field of view of 800 {micro}m x 800 {micro}m. We show that combining an air objective and a meniscus lens achieves an axially swept light sheet with sub-micron diffraction-limited resolution and aberration correction. The effective field of view is increased 2-fold by correcting the field curvature of the light sheet with a concave mirror in the remote focusing unit. Furthermore, the imaging speed is enhanced 10-fold by adapting the light sheets motion with a closed-loop feedback, reaching 100 frames per second while maintaining isotropic resolution across the large field of view. Finally, we showcase the performance of our light sheet system for imaging from subcellular up to centimeter scale in cleared zebrafish, mouse cochlea, and mouse brain using various clearing methods.

developmental biology↗

Exome-Capture RNA-Sequencing Of Decade-Old Breast Cancers And Matched Decalcified Bone Metastases Identifies Clinically Actionable Targets

Bone metastases (BoM) are a significant cause of morbidity in patients with Estrogen-receptor (ER)-positive breast cancer, yet characterizations of human specimens are limited. In this study, exome-capture RNA-sequencing (ecRNA-seq) on aged (8-12 years), formalin-fixed paraffin-embedded (FFPE) and decalcified cancer specimens was first evaluated. Gene expression values and RNA-seq quality metrics from FFPE or decalcified tumor RNA showed minimal differences when compared to matched flash-frozen or non-decalcified tumors. ecRNA-seq was then applied on a longitudinal collection of 11 primary breast cancers and patient-matched de novo or recurrent BoM. BoMs harbored shifts to more Her2 and LumB PAM50 intrinsic subtypes, temporally influenced expression evolution, recurrently dysregulated prognostic gene sets and altered expression of clinically actionable genes, particularly in the CDK-Rb-E2F and FGFR-signaling pathways. Taken together, this study demonstrates the use of ecRNA-seq on decade-old and decalcified specimens and defines expression-based tumor evolution in long-term, estrogen-deprived metastases that may have immediate clinical implications.\n\nGrant SupportResearch funding for this project was provided in part by a Susan G. Komen Scholar award to AVL and to SO, the Breast Cancer Research Foundation (AVL and SO), the Fashion Footwear Association of New York, the Magee-Womens Research Institute and Foundation, and through a Postdoctoral Fellowship awarded to RJW from the Department of Defense (BC123242). NP was supported by a training grant from the NIH/NIGMS (2T32GM008424-21) and an individual fellowship from the NIH/NCI (5F30CA203095).\n\nConflicts of Interest DisclosureNo relevant conflicts of interest disclosed for this study.\n\nAuthor ContributionsStudy concept and design (NP, RJW, SO, AVL); acquisition, analysis, or interpretation of data (all authors); drafting of the manuscript (NP, RJW, SO, AVL); critical revision of the manuscript for important intellectual content (all authors); administrative, technical, or material support (PCL, AB, RB, KRW, WH, JK, MR, ZF, AMB).

cancer biology↗