Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN.

Genome-wide localization of chromatin and transcription regulators can be detected by a variety of techniques. Here, we describe a novel method 'greenCUT&RUN' for genome-wide profiling of transcription regulators, which has a very high sensitivity, resolution, accuracy and reproducibility, whilst assuring specificity. Our strategy begins with tagging of the protein of interest with GFP and utilizes a GFP-specific nanobody fused to MNase to profile genome-wide binding events. By using a GFP-nanobody the greenCUT&RUN approach eliminates antibody dependency and variability. Robust genomic profiles were obtained with greenCUT&RUN, which are accurate and unbiased towards open chromatin. By integrating greenCUT&RUN with nanobody-based affinity purification mass spectrometry, 'piggy-back' DNA binding events can be identified on a genomic scale. The unique design of greenCUT&RUN grants target protein flexibility and yields high resolution footprints. In addition, greenCUT&RUN allows rapid profiling of mutants of chromatin and transcription proteins. In conclusion, greenCUT&RUN is a widely applicable and versatile genome-mapping technique.

Secretion and immunogenicity of the meningioma-associated antigen TXNDC16.

In a previous study, we identified thioredoxin domain containing 16 (TXNDC16) as a meningioma-associated Ag by protein macroarray screening. Serological screening detected autoantibodies against TXNDC16 exclusively in meningioma patients' sera and not in sera of healthy controls. TXNDC16 was previously found to be an endoplasmic reticulum (ER)-luminal glycoprotein. In this study, we show an additional ER-associated localization of TXNDC16 in the cytosol by in vitro synthesis, molecular mass shift assay, and flow cytometry. We were able to show TXNDC16 secretion in different human cell lines due to masked and therefore nonfunctional ER retrieval motif. A previously indicated exosomal TXNDC16 secretion could not be confirmed in HEK293 cells. The secreted serum protein TXNDC16 is bound in circulating immune complexes, which were found both in meningioma and healthy blood donor sera. Employing a customized array with 163 overlapping TXNDC16 peptides and measuring autoantibody reactivity, we achieved discrimination of meningioma sera from healthy controls with an accuracy of 87.2% using a set of only five immunogenic TXNDC16 epitopes.

Combining miRNA and mRNA Expression Profiles in Wilms Tumor Subtypes.

Wilms tumor (WT) is the most common childhood renal cancer. Recent findings of mutations in microRNA (miRNA) processing proteins suggest a pivotal role of miRNAs in WT genesis. We performed miRNA expression profiling of 36 WTs of different subtypes and four normal kidney tissues using microarrays. Additionally, we determined the gene expression profile of 28 of these tumors to identify potentially correlated target genes and affected pathways. We identified 85 miRNAs and 2107 messenger RNAs (mRNA) differentially expressed in blastemal WT, and 266 miRNAs and 1267 mRNAs differentially expressed in regressive subtype. The hierarchical clustering of the samples, using either the miRNA or mRNA profile, showed the clear separation of WT from normal kidney samples, but the miRNA pattern yielded better separation of WT subtypes. A correlation analysis of the deregulated miRNA and mRNAs identified 13,026 miRNA/mRNA pairs with inversely correlated expression, of which 2844 are potential interactions of miRNA and their predicted mRNA targets. We found significant upregulation of miRNAs-183, -301a/b and -335 for the blastemal subtype, and miRNAs-181b, -223 and -630 for the regressive subtype. We found marked deregulation of miRNAs regulating epithelial to mesenchymal transition, especially in the blastemal subtype, and miRNAs influencing chemosensitivity, especially in regressive subtypes. Further research is needed to assess the influence of preoperative chemotherapy and tumor infiltrating lymphocytes on the miRNA and mRNA patterns in WT.

Validation of a DNA-Based Next-Generation Sequencing Test for Molecular Diagnostic Variant and Fusion Detection in Formalin-Fixed, Paraffin-Embedded Tissue Specimens and Liquid Biopsy Plasma/Cell-Free DNA Samples.

This study evaluated two DNA-based next-generation sequencing approaches for detection of single-nucleotide variants (SNVs) and fusions in formalin-fixed, paraffin-embedded (FFPE) tissue specimens and liquid biopsies (AVENIO Targeted and Surveillance Panels). Reference standards (n = 7 with SNVs and structural variants) and real-world FFPE tissue specimens (n = 26 lung, colorectal, pancreas, ovary, breast, prostate, melanoma, and soft tissue cancer cases with n = 27 samples), liquid biopsies [n = 29 cases with n = 40 plasma/cell-free DNA (cfDNA) samples], and one pleural effusion (lung cancer) were analyzed by the AVENIO workflow for known SNVs (BRAF, BRCA1/2, CTNNB1, EGFR, KRAS, MET exon 14 skipping, NRAS, PIK3CA, and TP53), insertions and deletions (ERBB2 and KIT), and fusions (ALK and ROS1). Detection of SNVs, insertions and deletions, and fusions was reliable in 24 of 26 FFPE tissue specimen cases and at 1% allele frequency in 5 of 5 cfDNA reference standards and 37 of 40 plasma/cfDNA samples. Pitfalls were identified for the AVENIO workflow in calling and listing of clinically relevant variants, requiring additional manual inspection. Moreover, laboratory workflows are distinct for FFPE tissue specimens and liquid biopsies as well as time-consuming for sample quality control assays. In summary, the DNA-based next-generation sequencing approaches may be suitable for routine molecular pathology diagnostics on careful data interpretation and further optimization of the technical and laboratory workflows.

MiR-34a-3p alters proliferation and apoptosis of meningioma cells in vitro and is directly targeting SMAD4, FRAT1 and BCL2.

Micro (mi)RNAs are short, noncoding RNAs and deregulation of miRNAs and their targets are implicated in tumor generation and progression in many cancers. Meningiomas are mostly benign, slow growing tumors of the central nervous system with a small percentage showing a malignant phenotype.Following in silico prediction of potential targets of miR-34a-3p, SMAD4, FRAT1, and BCL2 have been confirmed as targets by dual luciferase assays with co-expression of miR-34a-3p and reporter gene constructs containing the respective 3'UTRs. Disruption of the miR-34a-3p binding sites in the 3'UTRs resulted in loss of responsiveness to miR-34a-3p overexpression. In meningioma cells, overexpression of miR-34a-3p resulted in decreased protein levels of SMAD4, FRAT1 and BCL2, while inhibition of miR-34a-3p led to increased levels of these proteins as confirmed by Western blotting. Furthermore, deregulation of miR-34a-3p altered cell proliferation and apoptosis of meningioma cells in vitro.We show that SMAD4, FRAT1 and BCL2 are direct targets of miR-34a-3p and that deregulation of miR-34a-3p alters proliferation and apoptosis of meningioma cells in vitro. As part of their respective signaling pathways, which are known to play a role in meningioma genesis and progression, deregulation of SMAD4, FRAT1 and BCL2 might contribute to the aberrant activation of these signaling pathways leading to increased proliferation and inhibition of apoptosis in meningiomas.

Posttranscriptional deregulation of signaling pathways in meningioma subtypes by differential expression of miRNAs.

BACKGROUND: Micro (mi)RNAs are key regulators of gene expression and offer themselves as biomarkers for cancer development and progression. Meningioma is one of the most frequent primary intracranial tumors. As of yet, there are limited data on the role of miRNAs in meningioma of different histological subtypes and the affected signaling pathways. METHODS: In this study, we compared expression of 1205 miRNAs in different meningioma grades and histological subtypes using microarrays and independently validated deregulation of selected miRNAs with quantitative real-time PCR. Clinical utility of a subset of miRNAs as biomarkers for World Health Organization (WHO) grade II meningioma based on quantitative real-time data was tested. Potential targets of deregulated miRNAs were discovered with an in silico analysis. RESULTS: We identified 13 miRNAs deregulated between different subtypes of benign meningiomas, and 52 miRNAs deregulated in anaplastic meningioma compared with benign meningiomas. Known and putative target genes of deregulated miRNAs include genes involved in epithelial-to-mesenchymal transition for benign meningiomas, and Wnt, transforming growth factor-ß, and vascular endothelial growth factor signaling for higher-grade meningiomas. Furthermore, a 4-miRNA signature (miR-222, -34a*, -136, and -497) shows promise as a biomarker differentiating WHO grade II from grade I meningiomas with an area under the curve of 0.75. CONCLUSIONS: Our data provide novel insights into the contribution of miRNAs to the phenotypic spectrum in benign meningiomas. By deregulating translation of genes belonging to signaling pathways known to be important for meningioma genesis and progression, miRNAs provide a second in line amplification of growth promoting cellular signals. MiRNAs as biomarkers for diagnosis of aggressive meningiomas might prove useful and should be explored further in a prospective manner.