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Yong Hou,
Luting Song,
Ping Zhu, Bo Zhang,
Ye Tao,
Xun Xu,
Fuqiang Li,
Kui Wu,
Jie Liang,
Di Shao, [......],
Zuhong Lu,
Ning Gu,
Goodman Laurie,
Lars Bolund,
Karsten Kristiansen,
Jian Wang,
Huanming Yang,
Yingrui Li,
Xiuqing Zhang,
Jun Wang
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ABSTRACT: Tumor heterogeneity presents a challenge for inferring clonal evolution and driver gene identification. Here, we describe a method for analyzing the cancer genome at a single-cell nucleotide level. To perform our analyses, we first devised and validated a high-throughput whole-genome single-cell sequencing method using two lymphoblastoid cell line single cells. We then carried out whole-exome single-cell sequencing of 90 cells from a JAK2-negative myeloproliferative neoplasm patient. The sequencing data from 58 cells passed our quality control criteria, and these data indicated that this neoplasm represented a monoclonal evolution. We further identified essential thrombocythemia (ET)-related candidate mutations such as SESN2 and NTRK1, which may be involved in neoplasm progression. This pilot study allowed the initial characterization of the disease-related genetic architecture at the single-cell nucleotide level. Further, we established a single-cell sequencing method that opens the way for detailed analyses of a variety of tumor types, including those with high genetic complex between patients.
Cell 03/2012; 148(5):873-85. · 32.40 Impact Factor
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Yingrui Li,
Xun Xu,
Luting Song,
Yong Hou,
Zesong Li,
Shirley Tsang,
Fuqiang Li,
Kate McGee Im,
Kui Wu,
Hanjie Wu, [......],
Jingxiang Li,
Wen Wang,
Zuhong Lu,
Xiuqing Zhang,
Lars Bolund,
Karsten Kristiansen,
Jian Wang,
Huanming Yang,
Michael Dean,
Jun Wang
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ABSTRACT: Cancers arise through an evolutionary process in which cell populations are subjected to selection; however, to date, the process of bladder cancer, which is one of the most common cancers in the world, remains unknown at a single-cell level.
We carried out single-cell exome sequencing of 66 individual tumor cells from a muscle-invasive bladder transitional cell carcinoma (TCC). Analyses of the somatic mutant allele frequency spectrum and clonal structure revealed that the tumor cells were derived from a single ancestral cell, but that subsequent evolution occurred, leading to two distinct tumor cell subpopulations. By analyzing recurrently mutant genes in an additional cohort of 99 TCC tumors, we identified genes that might play roles in the maintenance of the ancestral clone and in the muscle-invasive capability of subclones of this bladder cancer, respectively.
This work provides a new approach of investigating the genetic details of bladder tumoral changes at the single-cell level and a new method for assessing bladder cancer evolution at a cell-population level.
GigaScience. 01/2012; 1(1):12.
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ABSTRACT: A series of Ce–La–O mixed oxide catalysts with different compositions have been prepared by sol–gel method and characterized by XRD, BET, Raman, TPR and CO2-TPD techniques. The activity of Ce–La–O catalysts for methane oxidation has been investigated. When the ratio of Ce/Ce + La is changed from 1.0 to 0.2, only cubic phase CeO2 with fluorite structure is observed, whose crystal size decreases significantly with the increase in La amount, due to the formation of LaCeOx solid solution. The peak at 533 °C on TPR profiles of Ce–La–O with fluorite structure is ascribed to the reduction of non-stoichiometric CeO2−x. Raman bands around 570 and 1167 cm−1 for samples with the Ce/Ce + La ratios of 1–0.2 might be assigned to oxygen vacancies and surface superoxide ions, respectively. The addition of La promotes the formation of non-stoichiometric CeO2−x, which is responsible for the oxygen vacancies and surface superoxide ions. However, when the ratio of Ce/Ce + La decreases to 0.2, ceria-in-lanthanum solid solutions are formed, where non-stoichiometric CeO2−x cannot be observed. The high activity of Ce–La–O mixed oxide catalyst for methane combustion is related to superoxide ions and surface reducibility.
Catalysis Today 158:348-353. · 3.41 Impact Factor
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ABSTRACT: Novel nano-composites of poly (acrylic acid)-kaolinite were prepared, and intercalation and in situ polymerization were used in this process. The nano-composites were obtained by in situ polymerization of acrylic acid (AA) and sodium acrylate (AANa) intercalated into organo-kaolinite, which was obtained by refining and chemically modifying with solution intercalation step in order to increase the basal plane distance of the original clay. The modification was completed by using dimethyl-sulfoxide (DMSO)/methanol and potassium acetate (KAc)/water systems step by step. The materials were characterized with the help of XRD, FT-IR and TEM; the results confirmed that poly(acrylic acid) (PAA) and poly(sodium acrylate) (PAANa) were intercalated into the interlamellar spaces of kaolinite, the resulting copolymer composites (CC0 : copolymer–crude kaolinite composite, CC1 : copolymer–DMSO kaolinite composite, CC2 : copolymer–KAc kaolinite composite) of CC2 exhibited a lamellar nano-composite with a mixed nano-morphology, and partial exfoliation of the intercalating clay platelets should be the main morphology. Finally, the effect of neutralization degree on the intercalation behavior was also investigated.
Journal of Physics and Chemistry of Solids 68(2):135-142. · 1.63 Impact Factor
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ABSTRACT: In this paper, a new model was developed to describe the synergistic adsorption in the binary system (phenol/aniline in aqueous solution) onto nonpolar resin adsorbent Amberlite XAD-4 and NDA-100. The experimental uptakes of phenol and aniline in all binary-component systems are obviously higher than predicted by Extended Langmuir model, arising presumably from the synergistic effect caused by the hydrogen bonding interaction between the loaded phenol and aniline molecules. The synergistic coefficient of one adsorbate is linearly correlated with the loaded amount of the other. The newly developed model, along with single-component adsorption isotherm parameters and binary-component fitting parameters together, showed a marked improvement in correlating the binary adsorption by comparison with the Extended Langmuir model, which contains the single-component isotherm parameters only.
Reactive and Functional Polymers 66(4):395-401. · 2.48 Impact Factor
