Schedule dependent potentiation of antitumor drug effects by α-difluoromethylornithine in human gastric carcinoma cells in vitro

A clone of human gastric cancer cells (AGS-6) and the parental line (AGS-P) from which it was isolated were used in cell survival studies to determine whether pretreatment for 24, 48 or 72h with -difluoromethylornithine (DFMO, 5mM) would increase the cell's sensitivity to 5-Fluorouracil (5FU), Adriamycin (Adria), 1-(2-chloroethyl)-3-(4-methyl cyclohexyl)-1-nitrosourea (MeCCNU), or Bleomycin (Bleo). Generally, the AGS parental cells were most sensitive to the anticancer agents after exposures to DFMO. However, there was no way to predict in advance from DFMO-induced changes in ornithine decarboxylase (ODC), polyamine or cell kinetics values, how long an exposure to DFMO was required before sensitization to an anticancer agent occurred. The degree of potentiation for a single drug was variable from time to time during exposure to DFMO, and broad differences in the sensitizations were demonstrated among the four anticancer drugs. The AGS-6 clone exhibited little or no increased sensitivity as a result of pretreatment with DFMO, even though the DFMO-induced reductions in ODC and polyamine values in these cells were similar to those produced in the more sensitive parental line.     

Heterogeneity of Na+/K+-ATPase from rectal gland of Squalus acanthias is not due to α isoform diversity

 Purified Na⁺/K⁺-ATPase (EC 3.6.1.37) isolated from the rectal gland of Squalus acanthias was characterized in ouabain-binding studies and with respect to isoform(s) of the α peptide. To avoid enzyme inactivation [³H]ouabain equilibrium binding was carried out at 20°C. The heterogeneity of Na⁺/K⁺-ATPase isolated from shark rectal gland was similar in [³H]ouabain binding as previously seen in hydrolytic studies. The binding isotherms were compatible with the existence of a high-affinity (K _dis 0.69 nM) and a low-affinity (K _dis 42 nM) component of 1.46 and 0.79 nmol^.(mg protein)^–1, respectively. In Western blots the α peptide of the enzyme hybridized with an isoform-specific polyclonal antibody raised to an α₃-specific region of the large intracellular domain of rat Na⁺/K⁺-ATPase, but not with the supposed α₃-specific monoclonal antibody MA3-915 with its epitope near the N-terminus. Semi-quantitative analysis of the reaction of the α₃-specific polyclonal antibody with the α peptide from the shark enzyme compared to the reaction with α peptide from rat brain enzyme indicated that this region is not exactly the same in the two species. The α peptide of shark enzyme was not recognized by α₁- or α₂-specific polyclonal antibodies, or by the α₁-specific monoclonal antibodies 3B and F6. The large intracellular domain of Na⁺/K⁺-ATPase from shark rectal gland thus seems to be α₃-like and no α isoform heterogeneity seems able to account for the heterogeneity seen in ouabain binding. Received: 7 August 1998 / Accepted: 6 November 1998     

Brief Report: Highly motile cells are metabolically responsive to collagen density

Altered tissue mechanics and metabolism have gained significant attention as drivers of tumorigenesis, and mechanoresponsive metabolism has been implicated in migration and metastasis. However, heterogeneity in cell populations makes it difficult to link changes in behavior with metabolism, as individual cell behaviors are not necessarily reflected in population-based measurements. As such, the impact of increased collagen deposition, a tumor-associated collagen signature, on metabolism remains ambiguous. Here, we utilize a wide range of collagen densities to alter migration ability and study the bioenergetics of individual cells over time. Sorting cells based on their level of motility revealed energetics are a function of collagen density only for highly motile cells, not the entire population or cells with low motility. Changes in migration with increasing collagen density were correlated with cellular energetics, where matrix conditions most permissive to migration required less energy usage during movement and migrated more efficiently. These findings reveal a link between matrix mechanics, migratory phenotype, and bioenergetics and suggest that energetic costs are determined by the extracellular matrix and influence cell motility.     

SRS-FISH: A high-throughput platform linking microbiome metabolism to identity at the single-cell level

One of the biggest challenges in microbiome research in environmental and medical samples is to better understand functional properties of microbial community members at a single-cell level. Single-cell isotope probing has become a key tool for this purpose, but the current detection methods for determination of isotope incorporation into single cells do not allow high-throughput analyses. Here, we report on the development of an imaging-based approach termed stimulated Raman scattering–two-photon fluorescence in situ hybridization (SRS-FISH) for high-throughput metabolism and identity analyses of microbial communities with single-cell resolution. SRS-FISH offers an imaging speed of 10 to 100 ms per cell, which is two to three orders of magnitude faster than achievable by state-of-the-art methods. Using this technique, we delineated metabolic responses of 30,000 individual cells to various mucosal sugars in the human gut microbiome via incorporation of deuterium from heavy water as an activity marker. Application of SRS-FISH to investigate the utilization of host-derived nutrients by two major human gut microbiome taxa revealed that response to mucosal sugars tends to be dominated by Bacteroidales, with an unexpected finding that Clostridia can outperform Bacteroidales at foraging fucose. With high sensitivity and speed, SRS-FISH will enable researchers to probe the fine-scale temporal, spatial, and individual activity patterns of microbial cells in complex communities with unprecedented detail.

With the rapid advances in both genotyping and phenotyping of single cells, bridging genotype and phenotype at the single-cell level is becoming a new frontier of science (1). Methods have been developed to shed light on the genotype–metabolism relationship of individual cells in a complex environment (2, 3), which is especially relevant for an in-depth understanding of complex microbial communities in the environment and host-associated microbiomes. For functional analyses of microbial communities, single-cell isotope probing is often performed in combination with nanoscale secondary ion mass spectrometry (NanoSIMS) (4–7), microautoradiography (MAR) (8, 9), or spontaneous Raman microspectroscopy (10–12) to visualize and quantify the incorporation of isotopes from labeled substrates. These methods can be combined with fluorescence in situ hybridization (FISH) using ribosomal ribonucleic acid (rRNA)-targeted probes (13), enabling a direct link between metabolism and identity of the organisms. In addition, Raman-activated cell sorting has been recently developed using either optical tweezers or cell ejection for downstream sequencing of the sorted cells (14–16). While these approaches have expanded the possibilities for functional analyses of microbiome members (17), all of the aforementioned methods suffer from extremely limited throughput. Consequently, only relatively few samples and cells per sample are typically analyzed in single-cell stable isotope probing studies, hampering a comprehensive understanding of the function of microbes in their natural environment.To overcome the limited throughput of Raman spectroscopy, coherent Raman scattering microscopy based on coherent anti-Stokes Raman scattering (CARS) or stimulated Raman scattering (SRS) has been developed (18, 19). Compared with CARS, the SRS signal is free of the electronic resonance response (20) and is linear to molecular concentration, thus permitting quantitative mapping of biomolecules (21, 22). Both CARS and SRS microscopy have successfully been applied for studying single-cell metabolism in eukaryotes (23–26). In a label-free manner, SRS imaging has led to the discovery of an aberrant cholesteryl ester storage in aggressive cancers (27, 28), lipid-rich protrusions in cancer cells under starvation (29), and fatty acid unsaturation in ovarian cancer stem cells (30) and more recently, in melanoma (31, 32). CARS and SRS have also been harnessed to explore lipid metabolism in live Caenorhabditis elegans (33–36). Combined with stable isotope probing, SRS microscopy has allowed the tracing of glucose metabolism in eukaryotic cells (37, 38) and the visualization of metabolic dynamics in living animals (25). Recently, SRS was successfully applied to infer antibiotic resistance patterns of bacterial pure cultures and heavy water (D2O) metabolism (39). Yet, SRS microscopy has not been adapted for studying functional properties of members of microbiomes as SRS itself lacks the capability of identifying cells in a complex community.Here, we present an integrative platform that exploits the advantages of SRS for single-cell stable isotope probing together with two-photon FISH for the identification of cells in a high-throughput manner. To deal with the challenges in detecting low concentrations of metabolites inside small cells with diameters around 1 µm, we have developed a protocol that maximizes the isotope label content in cells and exploits the intense SRS signal from the Raman band used for isotope detection.Conventionally, FISH is performed separately by one-photon excited fluorescence microscopy (40). To enhance efficiency, we developed a system that implements highly sensitive SRS metabolic imaging with two-photon FISH using the same laser source. These efforts collectively led to a high-throughput platform that enables correlative imaging of cell identity and metabolism at a speed of 10 to 100 ms per cell. In comparison, it takes about 20 s to record a Raman spectrum from a single cell in a conventional spontaneous Raman FISH experiment (41, 42).Our technology enabled high-throughput analysis of single-cell metabolism in the human gut microbiome. In the human body, microbes have been shown to modulate the host’s health (43, 44). Analytical techniques looking into their activities and specific physiologies (i.e., phenotype) as a result of both genotype and the environment provide key information on how microbes function, interact with, and shape their host. As a proof of principle, we used stimulated Raman scattering–two-photon fluorescence in situ hybridization (SRS-FISH) to track the incorporation of deuterium (D) from D2O into a mixture of two distinct gut microbiota taxa. Incorporation of D from D2O into newly synthesized cellular components of active cells, such as lipids and proteins, occurs analogously to incorporation of hydrogen from water during the reductive steps of biosynthesis of various cellular molecules (10, 45, 46). Importantly, D incorporation from D2O has been shown to be reliable to track metabolic activity of individual cells within complex microbial communities in response to the addition of external substrates (10, 17, 47). When microbial communities are incubated in the presence of D2O under nutrient-limiting conditions, individual cells display only minimal activity and only minor D incorporation (11, 17, 47). In contrary, when cells are stimulated by the addition of an external nutrient, cells that can metabolize this compound become active and incorporate D into macromolecules, which lead to the presence of C-D bonds into the cell’s biomass. Consequently, D incorporation from D2O can be combined with techniques able to detect C-D signals, such as Raman-based approaches, and to track metabolic activity at the single-cell level in response to a variety of compounds. Here, we show that SRS-FISH enables fast and sensitive determination of the D content of individual cells while simultaneously unveiling their phylogenetic identity. We applied this technique to complex microbial communities by tracking in situ the metabolic responses of two major phylogenetic groups of microbes in the human gut (Bacteroidales and Clostridia spp.) and of a particular species within each group to supplemented host-derived nutrients. Our study revealed that 1) Clostridia spp. can actually outperform Bacteroidales spp. at foraging on the mucosal sugar fucose and shows 2) a significant interindividual variability of responses of these major microbiome taxa toward mucosal sugars. Together, our results demonstrate the capability of SRS-FISH to unveil the metabolism of particular microbes in complex communities at a throughput that is two to three orders of magnitude higher than other metabolism identity bridging tools, therefore providing a valuable multimodal platform to the field of single-cell analysis.     

基于肿瘤临床前模型建立头颈癌新型药物基因组学的必要性及展望

头颈癌是全球第七大恶性肿瘤类型,超过60％患者初次确诊即为中晚期.靶向治疗和免疫治疗的发展已经显著推动了头颈癌治疗策略的转型,但是临床获益有待进一步提升.肿瘤临床前模型保留了患者肿瘤的基因和表型的异质性,已广泛应用于临床前药物筛选和验证体系.药物基因组学通过将基因组学和药物响应进行匹配,能够基于肿瘤异质性基础进行患者分...     

人源H5N1亚型禽流感病毒株空斑特性和致病性研究

目的观察不同H5N1亚型禽流感病毒株空斑特性,对比研究不同空斑类型H5N1病毒致病性和复制能力差异。方法将不同稀释度的H5N1亚型禽流感病毒株分别接种于MDCK单层细胞,加盖营养琼脂,合适时间染色,观察不同H5N1亚型禽流感病毒株空斑形成特点,按照DullbeccoR的方法计算病毒PFU数;根据空斑大小进行挑选、纯化、筛选不同类型空斑病毒,测定这些病毒对Balb/c小鼠致病性差异和在MDCK细胞上复制差异。结果野生的人源H5N1禽流感病毒株在空斑形成上都存在不同程度的不均一性,空斑大小、形状差异明显:A/Vietnam/1194/2004(H5N1)以大圆形斑为主,夹杂少量小点状斑。A/Beijing/01/03(H5N1)大多数为中等大小空斑,并有少数针尖状斑。野生A/Vietnam/1194/2004经过分离纯化后,得到的两种空斑类型病毒在致病性和复制能力存在明显差异。结论野生的人源H5N1禽流感病毒株在空斑形成上都存在不同程度的不均一性,从野生病毒株中分离、纯化的大小斑病毒在致病性和复制能力上存在明显差异。     

Intratumoral Heterogeneity of Bladder Cancer by Molecular Subtypes and Histologic Variants

Molecular subtyping may inform on prognosis and treatment response in bladder cancer. However, intratumoral molecular heterogeneity is not well studied in this disease and could complicate efforts to use molecular subtyping to guide patient management. To investigate intratumoral heterogeneity in bladder cancer, we examined molecular subtypes in a consecutive, retrospective cystectomy series of histologic variant bladder cancers and conventional urothelial carcinomas co-occurring with them. Molecular subtypes were assigned as per the approach reported by Lund University, an approach that incorporates cell cycle alterations and markers of differentiation, to give the urothelial-like, genomically unstable, basal-squamous, mesenchymal-like, and neuroendocrine-like subtypes. The majority (93%) of tumors were classified as urothelial like, genomically unstable, or basal squamous. Among patients with more than one tumor histology, 39% demonstrated molecular heterogeneity among the different tumor histologies. This was greatest for the basal-squamous subtype, 78% of which co-occurred with either urothelial-like or genomically unstable carcinoma (among cases with multiple histologies). In contrast, there was no co-occurrence of urothelial-like and genomically unstable carcinoma in the same patient. The findings indicate that bladder cancer is often molecularly heterogeneous, particularly in the basal-squamous subtype. This raises the concern for sampling error in laboratory tests that guide therapy based on molecular subtyping.Patient summary: In this report, we investigated molecular diversity among different areas from the same tumor in patients with bladder cancer. We found that different areas from the same tumor are often molecularly different. We conclude that this biological diversity must be taken into account when interpreting clinical molecular tests performed on bladder cancer samples.     

单细胞转录组测序技术及其在肿瘤研究中的应用

单细胞转录组测序是指对单个细胞的全部RNA进行逆转录、扩增和测序,再进行生物信息学分析的技术。自2009年Tang等基于高通量测序平台开始单细胞转录组测序之后,该技术发展突飞猛进。由于该技术能在单细胞水平诠释细胞的异质性,因此已广泛应用于生命科学各领域尤其是肿瘤等疾病研究。本文将主要综述单细胞转录组测序技术流程和技术发展,及其在肿瘤异质性、肿瘤转移、肿瘤微环境、肿瘤药物等研究中的应用进展。