搜索结果: 'methocult media formulations for human hematopoietic cells serum containing'

We assessed viable Pax7(-/-) mice in 129Sv/J background and observed reduced growth and marked muscle wasting together with a complete absence of functional satellite cells. Acute injury resulted in an extreme deficit in muscle regeneration. However,a small number of regenerated myofibers were detected,suggesting the presence of residual myogenic cells in Pax7-deficient muscle. Rare Pax3(+)/MyoD+ myoblasts were recovered from Pax7(-/-) muscle homogenates and cultures of myofiber bundles but not from single myofibers free of interstitial tissues. Finally,we identified Pax3+ cells in the muscle interstitial environment and demonstrated that they coexpressed MyoD during regeneration. Sublaminar satellite cells in hind limb muscle did not express detectable levels of Pax3 protein or messenger RNA. Therefore,we conclude that interstitial Pax3+ cells represent a novel myogenic population that is distinct from the sublaminar satellite cell lineage and that Pax7 is essential for the formation of functional myogenic progenitors from sublaminar satellite cells. View Publication

BACKGROUND: Mammalian target of rapamycin (mTOR) is a serine/threonine kinase involved in multiple intracellular signaling pathways promoting tumor growth. mTOR is aberrantly activated in a significant portion of breast cancers and is a promising target for treatment. Rapamycin and its analogues are in clinical trials for breast cancer treatment. Patterns of gene expression (metagenes) may also be used to simulate a biologic process or effects of a drug treatment. In this study,we tested the hypothesis that the gene-expression signature regulated by rapamycin could predict disease outcome for patients with breast cancer. RESULTS: Colony formation and sulforhodamine B (IC50 textless 1 nM) assays,and xenograft animals showed that MDA-MB-468 cells were sensitive to treatment with rapamycin. The comparison of in vitro and in vivo gene expression data identified a signature,termed rapamycin metagene index (RMI),of 31 genes upregulated by rapamycin treatment in vitro as well as in vivo (false discovery rate of 10%). In the Miller dataset,RMI did not correlate with tumor size or lymph node status. High (textgreater75th percentile) RMI was significantly associated with longer survival (P = 0.015). On multivariate analysis,RMI (P = 0.029),tumor size (P = 0.015) and lymph node status (P = 0.001) were prognostic. In van 't Veer study,RMI was not associated with the time to develop distant metastasis (P = 0.41). In the Wang dataset,RMI predicted time to disease relapse (P = 0.009). CONCLUSION: Rapamycin-regulated gene expression signature predicts clinical outcome in breast cancer. This supports the central role of mTOR signaling in breast cancer biology and provides further impetus to pursue mTOR-targeted therapies for breast cancer treatment. View Publication

PURPOSE: Genz-644282 [8,9-dimethoxy-5-(2-N-methylaminoethyl)-2,3-methylenedioxy-5H-dibenzo[c,h][1,6]naphthyridin-6-one] has emerged as a promising candidate for antitumor agents. This report describes the bone marrow colony-forming unit,granulocyte macrophage (CFU-GM) and tumor cell CFU activity of topoisomerase I (Top1) inhibitors,such as Genz-644282,topotecan,irinotecan/SN-38,and ARC-111,and examines their activity in several human tumor xenograft models. EXPERIMENTAL DESIGN: Colony-forming assays were conducted with mouse and human bone marrow and eight human tumor cell lines. In addition,29 human tumor cell lines representing a range of histology and potential resistance mechanisms were assayed for sensitivity to Genz-644282 in a 72-hour exposure assay. The efficacy of Genz-644282 was compared with standard anticancer drugs (i.e.,irinotecan,docetaxel,and dacarbazine) in human tumor xenografts of colon cancer,renal cell carcinoma,non-small cell lung cancer,and melanoma. RESULTS: Human bone marrow CFU-GM was more sensitive to the Top1 inhibitors than was mouse bone marrow CFU-GM. The ratio of mouse to human IC(90) values was more than 10 for the camptothecins and less than 10 for Genz-644282,which had more potency as a cytotoxic agent toward human tumor cells in culture than the camptothecins in the colony-forming and 72-hour proliferation assays. Genz-644282 has superior or equal antitumor activity in the human tumor xenografts than the standard drug comparators. CONCLUSIONS: On the basis of preclinical activity and safety,Genz-644282 was selected for development and is currently undergoing phase 1 clinical trial. View Publication

Advances in differentiation of cardiomyocytes from human induced pluripotent stem cell (hiPSC) were emerged as a tool for modeling of cardiovascular disease that recapitulates the phenotype for the purpose of drug screening,biomarker discovery,and testing of single-nucleotide polymorphism (SNP) as a modifier for disease stratification. Here,we describe the (1) retroviral reprogramming strategies in the generation of human iPSC,(2) methodology in characterization of iPSC in order to identify the stem cell clones with the best quality,and (3) protocol of cardiac differentiation by modulation of Wnt signaling and $\$-catenin pathway. View Publication

In this study,we have identified a novel member of the AMPK family,namely Sucrose non-fermenting related kinase (Snrk),that is responsible for maintaining cardiac metabolism in mammals. SNRK is expressed in the heart,and brain,and in cell types such as endothelial cells,smooth muscle cells and cardiomyocytes (CMs). Snrk knockout (KO) mice display enlarged hearts,and die at postnatal day 0. Microarray analysis of embryonic day 17.5 Snrk hearts,and blood profile of neonates display defect in lipid metabolic pathways. SNRK knockdown CMs showed altered phospho-acetyl-coA carboxylase and phospho-AMPK levels similar to global and endothelial conditional KO mouse. Finally,adult cardiac conditional KO mouse displays severe cardiac functional defects and lethality. Our results suggest that Snrk is essential for maintaining cardiac metabolic homeostasis,and shows an autonomous role for SNRK during mammalian development. View Publication

The engineering of autologous patient T cells for adoptive cell therapies has revolutionized the treatment of several types of cancer1. However,further improvements are needed to increase response and cure rates. CRISPR-based loss-of-function screens have been limited to negative regulators of T cell functions2-4 and raise safety concerns owing to the permanent modification of the genome. Here we identify positive regulators of T cell functions through overexpression of around 12,000 barcoded human open reading frames (ORFs). The top-ranked genes increased the proliferation and activation of primary human CD4+ and CD8+ T cells and their secretion of key cytokines such as interleukin-2 and interferon-$\gamma$. In addition,we developed the single-cell genomics method OverCITE-seq for high-throughput quantification of the transcriptome and surface antigens in ORF-engineered T cells. The top-ranked ORF-lymphotoxin-$\beta$ receptor (LTBR)-is typically expressed in myeloid cells but absent in lymphocytes. When overexpressed in T cells,LTBR induced profound transcriptional and epigenomic remodelling,leading to increased T cell effector functions and resistance to exhaustion in chronic stimulation settings through constitutive activation of the canonical NF-$\kappa$B pathway. LTBR and other highly ranked genes improved the antigen-specific responses of chimeric antigen receptor T cells and ?? T cells,highlighting their potential for future cancer-agnostic therapies5. Our results provide several strategies for improving next-generation T cell therapies by the induction of synthetic cell programmes. View Publication

SUMMARYUnderstanding how human gene expression is coordinately regulated by functional units of proteins across the genome remains a major biological goal. Here,we present COMET,a high-throughput screening platform for combinatorial effector targeting for the identification of transcriptional modulators. We generate libraries of combinatorial dCas9-based fusion proteins,containing two to six effector domains,allowing us to systematically investigate more than 110,000 combinations of effector proteins at endogenous human loci for their influence on transcription. Importantly,we keep full proteins or domains intact,maintaining catalytic cores and surfaces for protein-protein interactions. We observe more than 5800 significant hits that modulate transcription,we demonstrate cell type specific transcriptional modulation,and we further investigate epistatic relationships between our effector combinations. We validate unexpected combinations as synergistic or buffering,emphasizing COMET as both a method for transcriptional effector discovery,and as a functional genomics tool for identifying novel domain interactions and directing locus-specific biochemistry. View Publication

Single-cell technologies can measure the expression of thousands of molecular features in individual cells undergoing dynamic biological processes. While examining cells along a computationally-ordered pseudotime trajectory can reveal how changes in gene or protein expression impact cell fate,identifying such dynamic features is challenging due to the inherent noise in single-cell data. Here,we present DELVE,an unsupervised feature selection method for identifying a representative subset of molecular features which robustly recapitulate cellular trajectories. In contrast to previous work,DELVE uses a bottom-up approach to mitigate the effects of confounding sources of variation,and instead models cell states from dynamic gene or protein modules based on core regulatory complexes. Using simulations,single-cell RNA sequencing,and iterative immunofluorescence imaging data in the context of cell cycle and cellular differentiation,we demonstrate how DELVE selects features that better define cell-types and cell-type transitions. DELVE is available as an open-source python package: https://github.com/jranek/delve. Characteristic genes or proteins driving continuous biological processes are difficult to uncover from noisy single-cell data. Here,authors present DELVE,an unsupervised feature selection method to identify core molecular features driving cell fate decisions. View Publication

The study introduces a new immunotherapy for treating melanoma and other cancers by developing a PROTAC that degrades NR4A1,an intracellular nuclear factor that plays a crucial role in immune suppression. An effective cancer therapy requires killing cancer cells and targeting the tumor microenvironment (TME). Searching for molecules critical for multiple cell types in the TME,we identified NR4A1 as one such molecule that can maintain the immune suppressive TME. Here,we establish NR4A1 as a valid target for cancer immunotherapy and describe a first-of-its-kind proteolysis-targeting chimera (PROTAC,named NR-V04) against NR4A1. NR-V04 degrades NR4A1 within hours in vitro and exhibits long-lasting NR4A1 degradation in tumors with an excellent safety profile. NR-V04 inhibits and frequently eradicates established tumors. At the mechanistic level,NR-V04 induces the tumor-infiltrating (TI) B cells and effector memory CD8+ T (Tem) cells and reduces monocytic myeloid-derived suppressor cells (m-MDSC),all of which are known to be clinically relevant immune cell populations in human melanomas. Overall,NR-V04–mediated NR4A1 degradation holds promise for enhancing anticancer immune responses and offers a new avenue for treating various types of cancers such as melanoma. Graphical Abstract View Publication

Alternative splicing events are a major causal mechanism for complex traits,but they have been understudied due to the limitation of short-read sequencing. Here,we generate a full-length isoform annotation of human immune cells from an individual by long-read sequencing for 29 cell subsets. This contains a number of unannotated transcripts and isoforms such as a read-through transcript of TOMM40-APOE in the Alzheimer’s disease locus. We profile characteristics of isoforms and show that repetitive elements significantly explain the diversity of unannotated isoforms,providing insight into the human genome evolution. In addition,some of the isoforms are expressed in a cell-type specific manner,whose alternative 3’-UTRs usage contributes to their specificity. Further,we identify disease-associated isoforms by isoform switch analysis and by integration of several quantitative trait loci analyses with genome-wide association study data. Our findings will promote the elucidation of the mechanism of complex diseases via alternative splicing. This paper unveils the complexity of human immune cell splicing,highlighting cell-specific isoforms and establishing connections between alternative splicing and complex traits. These findings have implications for understanding diseases and the evolution of the genome. View Publication

INTRODUCTION: Alzheimer's disease (AD) pathology is complex and involves mitochondrial dysfunction. There are emerging therapies targeting mitochondrial function in clinical trials for AD. This highlights the need for biomarkers that measure mitochondrial function. METHODS: We determined the utility of a novel blood‐based mitochondrial biomarker,the mitochondrial functional index (MFI),in the context of AD in a pilot study.RESULTS: In vitro and in vivo models of AD had a reduced MFI. MFI was lower in human AD subjects and APOE ????4 carriers. Receiver operating characteristic analysis showed MFI had a higher area under the curve than other plasma biomarkers. The MFI biomarker correlated with the Mini‐Mental State Examination (MMSE) and the Clinical Dementia Rating (CDR) scale. DISCUSSION: This study highlights the potential utility of MFI as a functional blood‐based mitochondrial biomarker to interrogate energy metabolism. Ongoing studies are examining the relationship of MFI with brain energy metabolism outcomes. Highlights: The MFI biomarker is reduced in cell and animal models of AD. The MFI biomarker is reduced in human AD subjects and APOE ε4 carriers. The MFI biomarker can discriminate between subjects with normal cognition and AD with better performance than other plasma biomarkers. The MFI biomarker correlates with cognitive scores. View Publication