Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets Export

@article{citeulike:5248466, abstract = {Transcriptional regulatory circuits govern how cis and trans factors transform signals into messenger RNA (mRNA) expression levels. With advances in quantitative and high-throughput technologies that allow measurement of gene expression state in different conditions, data that can be used to build and test models of transcriptional regulation is being generated at a rapid pace. Here, we review experimental and computational methods used to derive detailed quantitative circuit models on a small scale and cruder, genome-wide models on a large scale. We discuss the potential of combining small- and large-scale approaches to understand the working and wiring of transcriptional regulatory circuits. 10.1126/science.1171347}, author = {Kim, Harold D. and Shay, Tal and O'Shea, Erin K. and Regev, Aviv}, booktitle = {Science}, citeulike-article-id = {5248466}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/science.1171347}, citeulike-linkout-1 = {http://www.sciencemag.org/content/325/5939/429.abstract}, citeulike-linkout-2 = {http://www.sciencemag.org/content/325/5939/429.full.pdf}, citeulike-linkout-3 = {http://www.sciencemag.org/cgi/content/abstract/325/5939/429}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19628860}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19628860}, day = {24}, doi = {10.1126/science.1171347}, issn = {1095-9203}, journal = {Science}, keywords = {genetics, networks, single-cell}, month = {July}, number = {5939}, pages = {429--432}, posted-at = {2009-09-25 11:39:14}, priority = {2}, title = {Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets}, url = {http://dx.doi.org/10.1126/science.1171347}, volume = {325}, year = {2009} }

TY - JOUR ID - citeulike:5248466 L3 - citeulike-article-id:5248466 N2 - Transcriptional regulatory circuits govern how cis and trans factors transform signals into messenger RNA (mRNA) expression levels. With advances in quantitative and high-throughput technologies that allow measurement of gene expression state in different conditions, data that can be used to build and test models of transcriptional regulation is being generated at a rapid pace. Here, we review experimental and computational methods used to derive detailed quantitative circuit models on a small scale and cruder, genome-wide models on a large scale. We discuss the potential of combining small- and large-scale approaches to understand the working and wiring of transcriptional regulatory circuits. 10.1126/science.1171347 IS - 5939 JF - Science SN - 1095-9203 EP - 432 TI - Transcriptional Regulatory Circuits: Predicting Numbers from Alphabets VL - 325 T2 - Science SP - 429 KW - genetics KW - networks KW - single-cell AU - Kim, Harold AU - Shay, Tal AU - O'Shea, Erin AU - Regev, Aviv PY - 2009/07/24/ UR - http://dx.doi.org/10.1126/science.1171347 ER -