Ucar D et al. (MAR 2009)
Chemico-biological interactions 178 1-3 48--55
Aldehyde dehydrogenase activity as a functional marker for lung cancer.
Aldehyde dehydrogenase (ALDH) activity has been implicated in multiple biological and biochemical pathways and has been used to identify potential cancer stem cells. Our main hypothesis is that ALDH activity may be a lung cancer stem cell marker. Using flow cytometry,we sorted cells with bright (ALDH(br)) and dim (ALDH(lo)) ALDH activity found in H522 lung cancer cell line. We used in vitro proliferation and colony assays as well as a xenograft animal model to test our hypothesis. Cytogenetic analysis demonstrated that the ALDH(br) cells are indeed a different clone,but when left in normal culture conditions will give rise to ALDH(lo) cells. Furthermore,the ALDH(br) cells grow slower,have low clonal efficiency,and give rise to morphologically distinct colonies. The ability to form primary xenografts in NOD/SCID mice by ALDH(br) and ALDH(lo) cells was tested by injecting single cell suspension under the skin in each flank of same animal. Tumor size was calculated weekly. ALDH1A1 and ALDH3A1 immunohistochemistry (IHC) was performed on excised tumors. These tumors were also used to re-establish cell suspension,measure ALDH activity,and re-injection for secondary and tertiary transplants. The results indicate that both cell types can form tumors but the ones from ALDH(br) cells grew much slower in primary recipient mice. Histologically,there was no significant difference in the expression of ALDH in primary tumors originating from ALDH(br) or ALDH(lo) cells. Secondary and tertiary xenografts originating from ALDH(br) grew faster and bigger than those formed by ALDH(lo) cells. In conclusion,ALDH(br) cells may have some of the traditional features of stem cells in terms of being mostly dormant and slow to divide,but require support of other cells (ALDH(lo)) to sustain tumor growth. These observations and the known role of ALDH in drug resistance may have significant therapeutic implications in the treatment of lung cancer.
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产品类型:
产品号#:
01700
01705
01702
产品名:
ALDEFLUOR™ 试剂盒
ALDEFLUOR™ DEAB试剂
ALDEFLUOR™测定缓冲液
Sieling PA et al. (JAN 2003)
Journal of immunology (Baltimore,Md. : 1950) 170 1 194--200
Toll-like receptor 2 ligands as adjuvants for human Th1 responses.
Bacterial lipopeptides (bLPs) are increasingly used as adjuvants to activate cell-mediated immune responses to foreign Ags. To explore mechanisms whereby bLPs adjuvant T cell responses,we stimulated human PBMCs with bLPs. We found that bLPs stimulate T cells to proliferate and produce IFN-gamma in an accessory cell-dependent manner and in the absence of exogenous protein Ags. The ability of bLPs to stimulate T cell proliferation was Toll-like receptor 2 dependent and required IL-12,interaction with costimulatory molecules,and MHC proteins. Our data suggest that bLPs adjuvant adaptive Th1 responses by enhancing Ag presentation of endogenous peptides.
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产品类型:
产品号#:
15021
15061
15028
15068
产品名:
RosetteSep™人T细胞富集抗体混合物
RosetteSep™人T细胞富集抗体混合物
RosetteSep™ 人单核细胞富集抗体混合物
RosetteSep™人单核细胞富集抗体混合物
Villa GR et al. (NOV 2016)
Cancer cell 30 5 683--693
An LXR-Cholesterol Axis Creates a Metabolic Co-Dependency for Brain Cancers.
Small-molecule inhibitors targeting growth factor receptors have failed to show efficacy for brain cancers,potentially due to their inability to achieve sufficient drug levels in the CNS. Targeting non-oncogene tumor co-dependencies provides an alternative approach,particularly if drugs with high brain penetration can be identified. Here we demonstrate that the highly lethal brain cancer glioblastoma (GBM) is remarkably dependent on cholesterol for survival,rendering these tumors sensitive to Liver X receptor (LXR) agonist-dependent cell death. We show that LXR-623,a clinically viable,highly brain-penetrant LXRα-partial/LXRβ-full agonist selectively kills GBM cells in an LXRβ- and cholesterol-dependent fashion,causing tumor regression and prolonged survival in mouse models. Thus,a metabolic co-dependency provides a pharmacological means to kill growth factor-activated cancers in the CNS.
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产品类型:
产品号#:
05750
05751
产品名:
NeuroCult™ NS-A 基础培养基(人)
NeuroCult™ NS-A 扩增试剂盒(人)
Menzies AM et al. ( 2012)
Drug design,development and therapy 6 391--405
Dabrafenib and its potential for the treatment of metastatic melanoma.
The purpose of this study is to review the development of BRAF inhibitors,with emphasis on the trials conducted with dabrafenib (GSK2118436) and the evolving role of dabrafenib in treatment for melanoma patients. Fifty percent of cutaneous melanomas have mutations in BRAF,resulting in elevated activity of the mitogen-activated protein kinase signaling pathway. Dabrafenib inhibits the mutant BRAF (BRAF(mut)) protein in melanomas with BRAF(V600E) and BRAF(V600K) genotypes. BRAF(V600E) metastatic melanoma patients who receive dabrafenib treatment exhibit high clinical response rates and compared with dacarbazine chemotherapy,progression-free survival. Efficacy has also been demonstrated in BRAF(V600K) patients and in those with brain metastases. Dabrafenib has a generally mild and manageable toxicity profile. Cutaneous squamous cell carcinomas and pyrexia are the most significant adverse effects. Dabrafenib appears similar to vemurafenib with regard to efficacy but it is associated with less toxicity. It is expected that new combinations of targeted drugs,such as the combination of dabrafenib and trametinib (GSK1120212,a MEK inhibitor),will provide higher response rates and more durable clinical benefit than dabrafenib monotherapy.
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Combinatorial effector targeting (COMET) for transcriptional modulation and locus-specific biochemistry
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.
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产品类型:
产品号#:
100-0276
100-1130
产品名:
mTeSR™ Plus
mTeSR™ Plus
(Mar 2024)
Nature Communications 15
DELVE: feature selection for preserving biological trajectories in single-cell data
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.
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产品类型:
产品号#:
85850
85857
产品名:
mTeSR™1
mTeSR™1
(Sep 2024)
Nature Communications 15
Multiplex, single-cell CRISPRa screening for cell type specific regulatory elements
CRISPR-based gene activation (CRISPRa) is a strategy for upregulating gene expression by targeting promoters or enhancers in a tissue/cell-type specific manner. Here,we describe an experimental framework that combines highly multiplexed perturbations with single-cell RNA sequencing (sc-RNA-seq) to identify cell-type-specific,CRISPRa-responsive cis-regulatory elements and the gene(s) they regulate. Random combinations of many gRNAs are introduced to each of many cells,which are then profiled and partitioned into test and control groups to test for effect(s) of CRISPRa perturbations of both enhancers and promoters on the expression of neighboring genes. Applying this method to a library of 493 gRNAs targeting candidate cis-regulatory elements in both K562 cells and iPSC-derived excitatory neurons,we identify gRNAs capable of specifically upregulating intended target genes and no other neighboring genes within 1?Mb,including gRNAs yielding upregulation of six autism spectrum disorder (ASD) and neurodevelopmental disorder (NDD) risk genes in neurons. A consistent pattern is that the responsiveness of individual enhancers to CRISPRa is restricted by cell type,implying a dependency on either chromatin landscape and/or additional trans-acting factors for successful gene activation. The approach outlined here may facilitate large-scale screens for gRNAs that activate genes in a cell type-specific manner. Scalable CRISPRa screening of cis-regulatory elements in non-cancer cell lines has proved challenging. Here,the authors describe a scalable,CRISPR activation screening framework to identify regulatory element-gene pairs in diverse cell types including cancer cells and neurons.
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产品类型:
产品号#:
100-0276
100-1130
产品名:
mTeSR™ Plus
mTeSR™ Plus
(May 2024)
Nature Communications 15
Long-read sequencing for 29 immune cell subsets reveals disease-linked isoforms
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.
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Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome Editing Specificity
Targeted genome editing technologies have enabled a broad range of research and medical applications. The Cas9 nuclease from the microbial CRISPR-Cas system is targeted to specific genomic loci by a 20 nt guide sequence,which can tolerate certain mismatches to the DNA target and thereby promote undesired off-target mutagenesis. Here,we describe an approach that combines a Cas9 nickase mutant with paired guide RNAs to introduce targeted double-strand breaks. Because individual nicks in the genome are repaired with high fidelity,simultaneous nicking via appropriately offset guide RNAs is required for double-stranded breaks and extends the number of specifically recognized bases for target cleavage. We demonstrate that using paired nicking can reduce off-target activity by 50- to 1,500-fold in cell lines and to facilitate gene knockout in mouse zygotes without sacrificing on-target cleavage efficiency. This versatile strategy enables a wide variety of genome editing applications that require high specificity. textcopyright 2013 Elsevier Inc.
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产品类型:
产品号#:
05850
05857
05870
05875
85850
85857
85870
85875
产品名:
mTeSR™1
mTeSR™1
Chronopoulou E et al. ( 2014)
1131 47--70
Hybridoma technology for the generation of rodent mAbs via classical fusion
Monoclonal antibodies (mAbs) have proven to be instrumental in the advancement of research,diagnostic,industrial vaccine,and therapeutic applications. The use of mAbs in laboratory protocols has been growing in an exponential fashion for the last four decades. Described herein are methods for the development of highly specific mAbs through traditional hybridoma fusion. For ultimate success,a series of simultaneously initiated protocols are to be undertaken with careful attention to cell health of both the myeloma fusion partner and immune splenocytes. Coordination and attention to detail will enable a researcher with basic tissue culture skills to generate mAbs from immunized rodents to a variety of antigens (including proteins,carbohydrates,DNA,and haptens) (see Note 1). Furthermore,in vivo and in vitro methods used for antigen sensitization of splenocytes prior to somatic fusion are described herein.
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