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6. A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

Author

Su, Zhenqiang, Labaj, Pawel P., Li, Sheng, Thierry-Mieg, Jean, Thierry-Mieg, Danielle, Shi, Wei, Wang, Charles, Schroth, Gary P., Setterquist, Robert A., Thompson, John F., Jones, Wendell D., Xiao, Wenzhong, Xu, Weihong, Jensen, Roderick V., Kelly, Reagan, Xu, Joshua, Conesa, Ana, Furlanello, Cesare, Gao, Hanlin, Hong, Huixiao, Jafari, Nadereh, Letovsky, Stan, Liao, Yang, Lu, Fei, Oakeley, Edward J., Peng, Zhiyu, Praul, Craig A., Santoyo-Lopez, Javier, Scherer, Andreas, Shi, Tieliu, Smyth, Gordon K., Staedtler, Frank, Sykacek, Peter, Tan, Xin-Xing, Thompson, E. Aubrey, Vandesompele, Jo, Wang, May D., Wang, Jian, Wolfinger, Russell D., Zavadil, Jiri, Auerbach, Scott S., Bao, Wenjun, Binder, Hans, Blomquist, Thomas, Brilliant, Murray H., Bushel, Pierre R., Cain, Weimin, Catalano, Jennifer G., Chang, Ching-Wei, Chen, Tao, Chen, Geng, Chen, Rong, Chierici, Marco, Chu, Tzu-Ming, Clevert, Djork-Arne, Deng, Youping, Derti, Adnan, Devanarayan, Viswanath, Dong, Zirui, Dopazo, Joaquin, Du, Tingting, Fang, Hong, Fang, Yongxiang, Fasold, Mario, Fernandez, Anita, Fischer, Matthias, Furio-Tari, Pedro, Fuscoe, James C., Caiment, Florian, Gaj, Stan, Gandara, Jorge, Gao, Huan, Ge, Weigong, Gondo, Yoichi, Gong, Binsheng, Gong, Meihua, Gong, Zhuolin, Green, Bridgett, Guo, Chao, Guo, Lei, Guo, Li-Wu, Hadfield, James, Hellemans, Jan, Hochreiter, Sepp, Jia, Meiwen, Jian, Min, Johnson, Charles D., Kay, Suzanne, Kleinjans, Jos, Lababidi, Samir, Levy, Shawn, Li, Quan-Zhen, Li, Li, Li, Peng, Li, Yan, Li, Haiqing, Li, Jianying, Li, Shiyong, Lin, Simon M., Lopez, Francisco J., Lu, Xin, Luo, Heng, Ma, Xiwen, Meehan, Joseph, Megherbi, Dalila B., Mei, Nan, Mu, Bing, Ning, Baitang, Pandey, Akhilesh, Perez-Florido, Javier, Perkins, Roger G., Peters, Ryan, Phan, John H., Pirooznia, Mehdi, Qian, Feng, Qing, Tao, Rainbow, Lucille, Rocca-Serra, Philippe, Sambourg, Laure, Sansone, Susanna-Assunta, Schwartz, Scott, Shah, Ruchir, Shen, Jie, Smith, Todd M., Stegle, Oliver, Stralis-Pavese, Nancy, Stupka, Elia, Suzuki, Yutaka, Szkotnicki, Lee T., Tinning, Matthew, Tu, Bimeng, van Deft, Joost, Vela-Boza, Alicia, Venturini, Elisa, Walker, Stephen J., Wan, Liqing, Wang, Wei, Wang, Jinhui, Wang, Jun, Wieben, Eric D., Willey, James C., Wu, Po-Yen, Xuan, Jiekun, Yang, Yong, Ye, Zhan, Yin, Ye, Yu, Ying, Yuan, Yate-Ching, Zhang, John, Zhang, Ke K., Zhang, Wenqian, Zhang, Wenwei, Zhang, Yanyan, Zhao, Chen, Zheng, Yuanting, Zhou, Yiming, Zumbo, Paul, Tong, Weida, Kreil, David P., Mason, Christopher E., Shi, Leming, Su, Zhenqiang, Labaj, Pawel P., Li, Sheng, Thierry-Mieg, Jean, Thierry-Mieg, Danielle, Shi, Wei, Wang, Charles, Schroth, Gary P., Setterquist, Robert A., Thompson, John F., Jones, Wendell D., Xiao, Wenzhong, Xu, Weihong, Jensen, Roderick V., Kelly, Reagan, Xu, Joshua, Conesa, Ana, Furlanello, Cesare, Gao, Hanlin, Hong, Huixiao, Jafari, Nadereh, Letovsky, Stan, Liao, Yang, Lu, Fei, Oakeley, Edward J., Peng, Zhiyu, Praul, Craig A., Santoyo-Lopez, Javier, Scherer, Andreas, Shi, Tieliu, Smyth, Gordon K., Staedtler, Frank, Sykacek, Peter, Tan, Xin-Xing, Thompson, E. Aubrey, Vandesompele, Jo, Wang, May D., Wang, Jian, Wolfinger, Russell D., Zavadil, Jiri, Auerbach, Scott S., Bao, Wenjun, Binder, Hans, Blomquist, Thomas, Brilliant, Murray H., Bushel, Pierre R., Cain, Weimin, Catalano, Jennifer G., Chang, Ching-Wei, Chen, Tao, Chen, Geng, Chen, Rong, Chierici, Marco, Chu, Tzu-Ming, Clevert, Djork-Arne, Deng, Youping, Derti, Adnan, Devanarayan, Viswanath, Dong, Zirui, Dopazo, Joaquin, Du, Tingting, Fang, Hong, Fang, Yongxiang, Fasold, Mario, Fernandez, Anita, Fischer, Matthias, Furio-Tari, Pedro, Fuscoe, James C., Caiment, Florian, Gaj, Stan, Gandara, Jorge, Gao, Huan, Ge, Weigong, Gondo, Yoichi, Gong, Binsheng, Gong, Meihua, Gong, Zhuolin, Green, Bridgett, Guo, Chao, Guo, Lei, Guo, Li-Wu, Hadfield, James, Hellemans, Jan, Hochreiter, Sepp, Jia, Meiwen, Jian, Min, Johnson, Charles D., Kay, Suzanne, Kleinjans, Jos, Lababidi, Samir, Levy, Shawn, Li, Quan-Zhen, Li, Li, Li, Peng, Li, Yan, Li, Haiqing, Li, Jianying, Li, Shiyong, Lin, Simon M., Lopez, Francisco J., Lu, Xin, Luo, Heng, Ma, Xiwen, Meehan, Joseph, Megherbi, Dalila B., Mei, Nan, Mu, Bing, Ning, Baitang, Pandey, Akhilesh, Perez-Florido, Javier, Perkins, Roger G., Peters, Ryan, Phan, John H., Pirooznia, Mehdi, Qian, Feng, Qing, Tao, Rainbow, Lucille, Rocca-Serra, Philippe, Sambourg, Laure, Sansone, Susanna-Assunta, Schwartz, Scott, Shah, Ruchir, Shen, Jie, Smith, Todd M., Stegle, Oliver, Stralis-Pavese, Nancy, Stupka, Elia, Suzuki, Yutaka, Szkotnicki, Lee T., Tinning, Matthew, Tu, Bimeng, van Deft, Joost, Vela-Boza, Alicia, Venturini, Elisa, Walker, Stephen J., Wan, Liqing, Wang, Wei, Wang, Jinhui, Wang, Jun, Wieben, Eric D., Willey, James C., Wu, Po-Yen, Xuan, Jiekun, Yang, Yong, Ye, Zhan, Yin, Ye, Yu, Ying, Yuan, Yate-Ching, Zhang, John, Zhang, Ke K., Zhang, Wenqian, Zhang, Wenwei, Zhang, Yanyan, Zhao, Chen, Zheng, Yuanting, Zhou, Yiming, Zumbo, Paul, Tong, Weida, Kreil, David P., Mason, Christopher E., and Shi, Leming

Abstract

We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the US Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for junction discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At all sequencing depths, we discover unannotated exon-exon junctions, with >80% validated by qPCR. We find that measurements of relative expression are accurate and reproducible across sites and platforms if specific-filters are used. In contrast, RNA-seq and microarrays do not provide accurate absolute measurements, and gene-specific biases are observed for all examined platforms, including qPCR. Measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling. The complete SEQC data sets, comprising >100 billion reads (10Tb), provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings.

Published
2014

9. Harmonizing lightweight and ablation resistance: Design and performance of multilayer composite insulation materials for solid rocket motors.

Author

Wang, Li, Li, Jiang, Wang, Yiwei, Dong, Jiaxin, and Wan, Liqing

Subjects
*INSULATING materials, *LIGHTWEIGHT materials, *COMPOSITE structures, *ABLATIVE materials, *COMBUSTION chambers
Abstract

Highlights The realization of lightweight insulation materials is often accompanied by a decrease in ablation performance. Coordinating the contradiction between lightweight and ablation resistance is the key to the development of thermal protection technology. Addressing the need for high‐performance insulation materials within solid rocket motors (SRMs) combustion chambers, we designed three multilayer composite structural insulation materials and studied their properties. The results show that among these constructed multilayer composites, the bilayer structure exhibited the lowest density at a mere 0.72 g/cm3, marking a 27% reduction compared to the basic structure. Remarkably, the bilayer configuration demonstrated superior ablation resistance, showcasing a 25% decrease in the line ablation rate in contrast to the basic structure after oxygen‐acetylene test. This achievement embodies the successful harmonization of lightweight properties with ablation resistance. Furthermore, based on the performance and microstructure of the char layer, a further analysis revealed the enhancement mechanism of ablative performance by the multilayer composite structure. It was found that the synergistic effect of the compact/porous structure of the char layer grants the bilayer structure thermal insulation material optimal ablative performance. This work provides strong support for improving the performance of SRMs. Insulation materials with multilayer composite structures are designed. The materials exhibit both lightweight and superior ablation resistance. Compact/porous char layers enhance material ablation performance. [ABSTRACT FROM AUTHOR]

Published
2024
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