Daviessejersen7039
In the last decade, genome editing has been the center of attention as a novel tool for mechanistic investigations and for potential clinical applications. Various genome editing tools like meganucleases, zinc finger nucleases (ZFNs), transcription activator-like effector-based nucleases (TALEN), and the clustered regularly interspaced short palindromic repeats (CRISPR)-associated genes (Cas), have been developed in recent years. For the optimal use as well as continued developments of these genome editing tools, the evaluation of their efficiencies and accuracies is vital. Here, we present a protocol for a reporter based on frameshift fluorescence protein which we recently developed to evaluate the efficiency and accuracy of genome editing tools. In this method, a ~20 bp target sequence containing frame-shifting is inserted after the start codon of a cerulean fluorescence protein (CFP) to inactivate its fluorescence, and only a new insertion/deletion event in the target sequence will reactivate the CFP fluorescence. To increase the traceability, an internal ribosome entry site and a red fluorescence protein, mCherryFP, are placed downstream of the reporter. The percentage of CFP-positive cells resulted from in/del mediated fluorescence restoration can be quantified by fluorescence measuring devices as the readout for genome editing frequency. As a demonstration, we present the usage for CRISPR-Cas9 technique here with flow cytometer as the readout for fluorescence changes.Missense mutations of p97/cdc48/Valosin-containing protein (VCP) cause inclusion body myopathy, Paget disease with frontotemporal dementia (IBMPFD) and other neurodegenerative diseases. The pathological mechanism of IBMPFD is not clear and there is no treatment. We generated Drosophila models of IBMPFD in adult flight muscle in vivo. Here we describe a variety of assays to characterize disease pathology and dissect disease mechanism, and the consequences of in vivo feeding of VCP inhibitors.T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematological malignancy that arises from transformation of T-cell primed hematopoietic progenitors. Although T-ALL is a heterogenous and molecularly complex disease, more than 65% of T-ALL patients carry activating mutations in the NOTCH1 gene. The majority of T-ALL-associated NOTCH1 mutations either disrupt the negative regulatory region, allowing signal activation in the absence of ligand binding, or result in truncation of the C-terminal PEST domain involved in the termination of NOTCH1 signaling by proteasomal degradation. To date, retroviral transduction models have relied heavily on the overexpression of aggressively truncated variants of NOTCH1 (such as ICN1 or ΔE-NOTCH1), which result in supraphysiological levels of signaling activity and are rarely found in human T-ALL. The current protocol describes the method for mouse bone marrow isolation, hematopoietic stem and progenitor cell (HSC) enrichment, followed by retroviral transduction with an oncogenic mutant form of the NOTCH1 receptor (NOTCH1-L1601P-ΔP) that closely resembles the gain-of-function mutations most commonly found in patient samples. A hallmark of this forced expression of constitutively active NOTCH1 is a transient wave of extrathymic immature T-cell development, which precedes oncogenic transformation to T-ALL. Furthermore, this approach models leukemic transformation and progression in vivo by allowing for crosstalk between leukemia cells and the microenvironment, an aspect unaccounted for in cell-line based in vitro studies. Thus, the HSC transduction and transplantation model more faithfully recapitulates development of the human disease, providing a highly comprehensive and versatile tool for further in vivo and ex vivo functional studies.Ectopic expression of transcription factor combinations has been recently demonstrated to reprogram differentiated somatic cells towards the dendritic cell (DC) lineage without reversion to a multipotent state. DCs have the ability to induce potent and long-lasting adaptive immune responses. In particular, conventional type 1 DCs (cDC1s) excel on antigen cross-presentation, a critical step for inducing CD8+ T cell cytotoxic responses. The rarity of naturally occurring cDC1s and lack of in vitro methodologies for the generation of pure cDC1 populations strongly hinders the study of cDC1 lineage specification and function. Here, we describe a protocol for the generation of induced DCs (iDCs) by lentiviral-mediated expression of the transcription factors PU.1, IRF8 and BATF3 in mouse embryonic fibroblasts. iDCs acquire DC morphology, cDC1 phenotype and transcriptional signatures within 9 days. Selleckchem Foretinib iDCs generated with this protocol acquire functional ability to respond to inflammatory stimuli, engulf dead cells, process and cross-present antigens to CD8+ T cells. DC reprogramming provides a simple and tractable system to generate high numbers of cDC1-like cells for high content screening, opening new avenues to better understand cDC1 specification and function. In the future, faithful induction of cDC1 fate in fibroblasts may lead to the generation of patient-specific DCs for vaccination.We have developed enabling techniques for sulfoglycomics based on MALDI-MS mapping and MS/MS sequencing of permethylated sulfated glycans. We then extended further the analytical workflow to C18 reverse phase (RP)-nanoLC-nanoESI-MS/MS analyses of permethylated sulfated glycans in the negative ion mode. The advantages are that extra sulfates on permethylated di- and multiply sulfated glycans will survive in nanoESI conditions to allow detection of multiply charged intact molecular ions, and more comprehensive MS/MS can be performed in an automated fashion at higher sensitivity, compared with MALDI-MS/MS. Parallel higher energy collision dissociation (HCD) and ion trap collision induced dissociation (CID)-based MS2, coupled with product-dependent MS3 in data dependent acquisition mode proved to be highly productive when applied to resolve and identify the isomeric sulfated glycan structures. In-house glycomic data mining software, GlyPick, was developed and used to automate the downstream process of identification and relative quantification of target sulfated glycotopes based on summed intensity of their diagnostic MS2 ions extracted from thousands of HCD-MS2 and/or CID-MS2 data.