Comprehensive comparison of large-scale tissue expression datasets.
Comprehensive comparison of large-scale tissue expression datasets.
复制标题
作者：
Santos A;Tsafou K;Stolte C;Pletscher-Frankild S;O'Donoghue SI;Jensen LJ
组织要发挥其功能，就需要有合适的蛋白质存在。一些高通量技术已经被用来绘制哪些蛋白质在哪些组织中表达；但是，以前没有系统地比较和综合这些数据。我们对来自各种实验技术的组织表达数据进行了全面评估，并表明这些数据彼此之间以及文献整理和文本挖掘的结果惊人地一致。我们进一步发现，大多数数据集支持组织特异性表达和普遍表达之间的假设但未被证明的区别。通过为所有类型的证据开发可比较的置信度分数，我们表明，通过组合数据集来提高质量和覆盖率是可能的。为了方便使用和可视化我们的工作，我们开发了组织资源（），它使所有得分和综合数据通过一个单一的用户友好的网络界面提供。
For tissues to carry out their functions, they rely on the right proteins to be present. Several high-throughput technologies have been used to map out which proteins are expressed in which tissues; however, the data have not previously been systematically compared and integrated. We present a comprehensive evaluation of tissue expression data from a variety of experimental techniques and show that these agree surprisingly well with each other and with results from literature curation and text mining. We further found that most datasets support the assumed but not demonstrated distinction between tissue-specific and ubiquitous expression. By developing comparable confidence scores for all types of evidence, we show that it is possible to improve both quality and coverage by combining the datasets. To facilitate use and visualization of our work, we have developed the TISSUES resource (), which makes all the scored and integrated data available through a single user-friendly web interface.
登录
查看更多内容
影响因子：
64.8
作者：
Kim, Min-Sik;Pinto, Sneha M.;Getnet, Derese;Nirujogi, Raja Sekhar;Manda, Srikanth S.;Chaerkady, Raghothama;Madugundu, Anil K.;Kelkar, Dhanashree S.;Isserlin, Ruth;Jain, Shobhit;Thomas, Joji K.;Muthusamy, Babylakshmi;Leal-Rojas, Pamela;Kumar, Praveen;Sahasrabuddhe, Nandini A.;Balakrishnan, Lavanya;Advani, Jayshree;George, Bijesh;Renuse, Santosh;Selvan, Lakshmi Dhevi N.;Patil, Arun H.;Nanjappa, Vishalakshi;Radhakrishnan, Aneesha;Prasad, Samarjeet;Subbannayya, Tejaswini;Raju, Rajesh;Kumar, Manish;Sreenivasamurthy, Sreelakshmi K.;Marimuthu, Arivusudar;Sathe, Gajanan J.;Chavan, Sandip;Datta, Keshava K.;Subbannayya, Yashwanth;Sahu, Apeksha;Yelamanchi, Soujanya D.;Jayaram, Savita;Rajagopalan, Pavithra;Sharma, Jyoti;Murthy, Krishna R.;Syed, Nazia;Goel, Renu;Khan, Aafaque A.;Ahmad, Sartaj;Dey, Gourav;Mudgal, Keshav;Chatterjee, Aditi;Huang, Tai-Chung;Zhong, Jun;Wu, Xinyan;Shaw, Patrick G.;Freed, Donald;Zahari, Muhammad S.;Mukherjee, Kanchan K.;Shankar, Subramanian;Mahadevan, Anita;Lam, Henry;Mitchell, Christopher J.;Shankar, Susarla Krishna;Satishchandra, Parthasarathy;Schroeder, John T.;Sirdeshmukh, Ravi;Maitra, Anirban;Leach, Steven D.;Drake, Charles G.;Halushka, Marc K.;Prasad, T. S. Keshava;Hruban, Ralph H.;Kerr, Candace L.;Bader, Gary D.;Iacobuzio-Donahue, Christine A.;Gowda, Harsha;Pandey, Akhilesh
通讯作者：
Pandey, Akhilesh
人类基因表达的组织特异性的综合功能分析。
影响因子：
5.4
作者：
Dezso Z;Nikolsky Y;Sviridov E;Shi W;Serebriyskaya T;Dosymbekov D;Bugrim A;Rakhmatulin E;Brennan RJ;Guryanov A;Li K;Blake J;Samaha RR;Nikolskaya T
通讯作者：
Nikolskaya T
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A
影响因子：
14.9
作者：
Franceschini A;Szklarczyk D;Frankild S;Kuhn M;Simonovic M;Roth A;Lin J;Minguez P;Bork P;von Mering C;Jensen LJ
通讯作者：
Jensen LJ
DOI：
10.1073/pnas.0810772105
发表时间：
2008-12-30
影响因子：
11.1
作者：
Lage, Kasper;Hansen, Niclas Tue;Brunak, Soren
通讯作者：
Brunak, Soren