Baatz JE et al. (JUL 2014)
In vivo (Athens,Greece) 28 4 411--423
Cryopreservation of viable human lung tissue for versatile post-thaw analyses and culture.
Clinical trials are currently used to test therapeutic efficacies for lung cancer,infections and diseases. Animal models are also used as surrogates for human disease. Both approaches are expensive and time-consuming. The utility of human biospecimens as models is limited by specialized tissue processing methods that preserve subclasses of analytes (e.g. RNA,protein,morphology) at the expense of others. We present a rapid and reproducible method for the cryopreservation of viable lung tissue from patients undergoing lobectomy or transplant. This method involves the pseudo-diaphragmatic expansion of pieces of fresh lung tissue with cryoprotectant formulation (pseudo-diaphragmatic expansion-cryoprotectant perfusion or PDX-CP) followed by controlled-rate freezing in cryovials. Expansion-perfusion rates,volumes and cryoprotectant formulation were optimized to maintain tissue architecture,decrease crystal formation and increase long-term cell viability. Rates of expansion of 4 cc/min or less and volumes ranging from 0.8-1.2 × tissue volume were well-tolerated by lung tissue obtained from patients with chronic obstructive pulmonary disease or idiopathic pulmonary fibrosis,showing minimal differences compared to standard histopathology. Morphology was greatly improved by the PDX-CP procedure compared to simple fixation. Fresh versus post-thawed lung tissue showed minimal differences in histology,RNA integrity numbers and post-translational modified protein integrity (2-dimensional differential gel electrophoresis). It was possible to derive numerous cell types,including alveolar epithelial cells,fibroblasts and stem cells,from the tissue for at least three months after cryopreservation. This new method should provide a uniform,cost-effective approach to the banking of biospecimens,with versatility to be amenable to any post-acquisition process applicable to fresh tissue samples.
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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
Gorman BR et al. (DEC 2014)
PLoS ONE 9 12 e116037
Multi-scale imaging and informatics pipeline for in situ pluripotent stem cell analysis
Human pluripotent stem (hPS) cells are a potential source of cells for medical therapy and an ideal system to study fate decisions in early development. However,hPS cells cultured in vitro exhibit a high degree of heterogeneity,presenting an obstacle to clinical translation. hPS cells grow in spatially patterned colony structures,necessitating quantitative single-cell image analysis. We offer a tool for analyzing the spatial population context of hPS cells that integrates automated fluorescent microscopy with an analysis pipeline. It enables high-throughput detection of colonies at low resolution,with single-cellular and sub-cellular analysis at high resolutions,generating seamless in situ maps of single-cellular data organized by colony. We demonstrate the tool's utility by analyzing inter- and intra-colony heterogeneity of hPS cell cycle regulation and pluripotency marker expression. We measured the heterogeneity within individual colonies by analyzing cell cycle as a function of distance. Cells loosely associated with the outside of the colony are more likely to be in G1,reflecting a less pluripotent state,while cells within the first pluripotent layer are more likely to be in G2,possibly reflecting a G2/M block. Our multi-scale analysis tool groups colony regions into density classes,and cells belonging to those classes have distinct distributions of pluripotency markers and respond differently to DNA damage induction. Lastly,we demonstrate that our pipeline can robustly handle high-content,high-resolution single molecular mRNA FISH data by using novel image processing techniques. Overall,the imaging informatics pipeline presented offers a novel approach to the analysis of hPS cells that includes not only single cell features but also colony wide,and more generally,multi-scale spatial configuration.
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Repression of Id2 expression by Gfi-1 is required for B-cell and myeloid development.
The development of mature blood cells from hematopoietic stem cells requires coordinated activities of transcriptional networks. Transcriptional repressor growth factor independence 1 (Gfi-1) is required for the development of B cells,T cells,neutrophils,and for the maintenance of hematopoietic stem cell function. However,the mechanisms by which Gfi-1 regulates hematopoiesis and how Gfi-1 integrates into transcriptional networks remain unclear. Here,we provide evidence that Id2 is a transcriptional target of Gfi-1,and repression of Id2 by Gfi-1 is required for B-cell and myeloid development. Gfi-1 binds to 3 conserved regions in the Id2 promoter and represses Id2 promoter activity in transient reporter assays. Increased Id2 expression was observed in multipotent progenitors,myeloid progenitors,T-cell progenitors,and B-cell progenitors in Gfi-1(-/-) mice. Knockdown of Id2 expression or heterozygosity at the Id2 locus partially rescues the B-cell and myeloid development but not the T-cell development in Gfi-1(-/-) mice. These studies demonstrate a role of Id2 in mediating Gfi-1 functions in B-cell and myeloid development and provide a direct link between Gfi-1 and the B-cell transcriptional network by its ability to repress Id2 expression.
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产品类型:
产品号#:
03234
产品名:
MethoCult™ M3234
Staron M et al. (JUN 2011)
Blood 117 26 7136--44
Heat-shock protein gp96/grp94 is an essential chaperone for the platelet glycoprotein Ib-IX-V complex.
The platelet glycoprotein Ib-IX-V complex (GPIb-IX-IV) is the receptor for VWF and is responsible for VWF-mediated platelet activation and aggregation. Loss of the GPIb-IX-V complex is pathogenic for Bernard-soulier Syndrome (BSS),which is characterized by macrothrombocytopenia and impaired platelet function. It remains unclear how the GPIb-IX-V complex is assembled and whether there is a role for a specific molecular chaperone in the process. In the present study,we report that the assembly of the GPIb-IX-V complex depends critically on a molecular chaperone in the endoplasmic reticulum (ER): gp96 (also known as grp94 and HSP90b1). gp96/grp94 deletion in the murine hematopoietic system results in thrombocytopenia,prolonged bleeding time,and giant platelets that are clinically indistinguishable from human BSS. Loss of gp96/grp94 in vivo and in vitro leads to the concomitant reduction in GPIb-IX complex expression due to ER-associated degradation. We further demonstrate that gp96/grp94 binds selectively to the GPIX subunit,but not to gpIbα or gpIbβ. Therefore,we identify the platelet GPIX subunit of the GPIb-IX-V complex as an obligate and novel client of gp96/grp94.
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产品类型:
产品号#:
03434
03444
产品名:
MethoCult™ GF M3434
MethoCult™ GF M3434
Rö et al. (SEP 2016)
Nature methods 13 9 777--783
TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics.
Next-generation mass spectrometric (MS) techniques such as SWATH-MS have substantially increased the throughput and reproducibility of proteomic analysis,but ensuring consistent quantification of thousands of peptide analytes across multiple liquid chromatography-tandem MS (LC-MS/MS) runs remains a challenging and laborious manual process. To produce highly consistent and quantitatively accurate proteomics data matrices in an automated fashion,we developed TRIC (http://proteomics.ethz.ch/tric/),a software tool that utilizes fragment-ion data to perform cross-run alignment,consistent peak-picking and quantification for high-throughput targeted proteomics. TRIC reduced the identification error compared to a state-of-the-art SWATH-MS analysis without alignment by more than threefold at constant recall while correcting for highly nonlinear chromatographic effects. On a pulsed-SILAC experiment performed on human induced pluripotent stem cells,TRIC was able to automatically align and quantify thousands of light and heavy isotopic peak groups. Thus,TRIC fills a gap in the pipeline for automated analysis of massively parallel targeted proteomics data sets.
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