{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T04:50:57Z","timestamp":1792731057892,"version":"4.5.0"},"reference-count":23,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"5717","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Science"],"published-print":{"date-parts":[[2005,3,25]]},"abstract":"<jats:p>Accurately predicting noise propagation in gene networks is crucial for understanding signal fidelity in natural networks and designing noise-tolerant gene circuits. To quantify how noise propagates through gene networks, we measured expression correlations between genes in single cells. We found that noise in a gene was determined by its intrinsic fluctuations, transmitted noise from upstream genes, and global noise affecting all genes. A model was developed that explains the complex behavior exhibited by the correlations and reveals the dominant noise sources. The model successfully predicts the correlations as the network is systematically perturbed. This approach provides a step toward understanding and manipulating noise propagation in more complex gene networks.<\/jats:p>","DOI":"10.1126\/science.1109090","type":"journal-article","created":{"date-parts":[[2005,3,24]],"date-time":"2005-03-24T21:43:26Z","timestamp":1111700606000},"page":"1965-1969","source":"Crossref","is-referenced-by-count":727,"title":["Noise Propagation in Gene Networks"],"prefix":"10.1126","volume":"307","author":[{"given":"Juan M.","family":"Pedraza","sequence":"first","affiliation":[{"name":"Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"van Oudenaarden","sequence":"additional","affiliation":[{"name":"Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"221","reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature01258"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/ng869"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1070919"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature01546"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1098641"},{"key":"e_1_3_1_7_2","unstructured":"Materials and methods are available as supporting material on Science Online."},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(02)75635-X"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.74.7.2766"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.78.11.6840"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.280.5365.895"},{"key":"e_1_3_1_12_2","unstructured":"We fitted the analytical results to all means noises and correlations simultaneously. To test the resulting parameters (table S1) we conducted Monte Carlo simulations of the network using Gillespie's stochastic simulation algorithm ( 22 ). The results from the Langevin model are consistent with these simulations."},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(01)75949-8"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.040411297"},{"key":"e_1_3_1_15_2","unstructured":"N. G. van Kampen Stochastic Processes in Physics and Chemistry (North-Holland Amsterdam 1981)."},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature02257"},{"key":"e_1_3_1_18_2","unstructured":"M. A. Savageau Biochemical Systems Analysis (Addison-Wesley Reading MA 1976)."},{"key":"e_1_3_1_19_2","unstructured":"The expression for the transmitted noise in h 2 cannot be rewritten as the transmission of the total steady-state noise in gene 1 only ( 6 15 )."},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1017\/S0033583501003663"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1038\/46972"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature01257"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1021\/j100540a008"},{"key":"e_1_3_1_24_2","unstructured":"Duplicated measurements are averaged. The error bars reflect the standard deviation of run-to-run differences and the error within each measurement as determined by bootstrapping."},{"key":"e_1_3_1_25_2","unstructured":"We thank T. S. Gardner J. J. Collins R. Lutz and H. Bujard for their kind gift of plasmids; M. Thattai A. Becskei and H. Lim for helpful discussions and suggestions; and B. Kaufmann for his help with the initial constructs. Supported by NSF CAREER grant no. PHY-0094181 and NIH grant no. R01-GM068957."}],"container-title":["Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.science.org\/doi\/pdf\/10.1126\/science.1109090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T02:17:05Z","timestamp":1704853025000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.science.org\/doi\/10.1126\/science.1109090"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,3,25]]},"references-count":23,"journal-issue":{"issue":"5717","published-print":{"date-parts":[[2005,3,25]]}},"alternative-id":["10.1126\/science.1109090"],"URL":"https:\/\/doi.org\/10.1126\/science.1109090","relation":{},"ISSN":["0036-8075","1095-9203"],"issn-type":[{"value":"0036-8075","type":"print"},{"value":"1095-9203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,3,25]]}}}