Results 31 to 40 of about 264,833 (258)

Rules for biological regulation based on error minimization

, 2006
The control of gene expression involves complex mechanisms that show large variation in design. For example, genes can be turned on either by the binding of an activator (positive control) or the unbinding of a repressor (negative control).
Atkinson, Becskei, Blake, Collado-Vides, Dekel, E. Dekel, Elena, Elowitz, Elowitz, G. Shinar, Gardner, Guet, Hartl, Hasty, Ibarra, Kaern, Martinez-Pastor, McAdams, McAdams, Nguyen, Ochman, Ozbudak, Paulsson, Pedraza, Postma, Rabin, Rosenfeld, Savageau, Savageau, Savageau, Savageau, Savageau, Sengupta, Skerker, Sprinzak, T. Tlusty, U. Alon, Zarrinpar   +37 more
core   +2 more sources

Coding limits on the number of transcription factors [PDF]

, 2006
Transcription factor proteins bind specific DNA sequences to control the expression of genes. They contain DNA binding domains which belong to several super-families, each with a specific mechanism of DNA binding.
Alon, Uri, Itzkovitz, Shalev, Tlusty, Tsvi   +2 more
core   +4 more sources

The yeast protein Xtc1 functions as a direct transcriptional repressor [PDF]

Nucleic Acids Research, 2002
The yeast protein Xtc1 was identified as a protein that binds directly and specifically to the activation domains of acidic activators such as E2F-1, Gal4 and VP16. Additionally, it was shown to co-purify with the RNA polymerase II holoenzyme complex and it was suggested that Xtc1 functions as a regulator of transcription that modulates the response of
Mary Sopta, Lidija Starešinčić, Ana Traven, Milica Arnerić   +3 more
openaire   +4 more sources

Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms

FEBS Letters, EarlyView.
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze, Stéphane Canaan, Alexandre Gouzy, Pierre Santucci   +3 more
wiley   +1 more source

Genetic noise control via protein oligomerization [PDF]

, 2008
Gene expression in a cell entails random reaction events occurring over disparate time scales. Thus, molecular noise that often results in phenotypic and population-dynamic consequences sets a fundamental limit to biochemical signaling.
A Arkin, A Barabasi, A Gilman, A Goldbeter, A Hernday, A Ujvari, B Alberts, B Chen, B Kim, B Lewin, B Müller-Hill, C Berger, C Herman, C Huang, C Tan, Cheol-Min Ghim, D Beckett, D Gillespie, D Hawley, D Hawley, D Rentzeperis, D Rozanov, D Thieffry, E Kussel, E Levine, Eivind Almaas, F Ramirez, F Sauer, G Ackers, H Kobayashi, I Ispolatov, J Kohler, J Little, J McDermott, J Newman, J Pedraza, J Raser, J Vilar, M Gibson, M Ptashne, M Shea, M Thattai, M Thattai, N Buchler, N Nelson, N Rosenfeld, P Guptasarma, P Warren, PL deHaseth, R Bundschuh, R Losick, R Sauer, S Macnamara, S Ramsey, S Semsey, T Alarcón, T Gardner, T Tian, T Tian, T Yi, WH Press   +60 more
core   +4 more sources

The power of microRNA regulation—insights into immunity and metabolism

FEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto, Nicola Manfrini, Stefano Biffo   +2 more
wiley   +1 more source

Operator Sequence Alters Gene Expression Independently of Transcription Factor Occupancy in Bacteria [PDF]

, 2012
A canonical quantitative view of transcriptional regulation holds that the only role of operator sequence is to set the probability of transcription factor binding, with operator occupancy determining the level of gene expression.
Boedicker, James Q., Garcia, Hernan G., Gelles, Jeff, Kondev, Jane, Osborne, Melissa, Phillips, Rob, Sanchez, Alvaro   +6 more
core   +4 more sources

miRNA‐29 regulates epidermal and mesenchymal functions in skin repair

FEBS Letters, EarlyView.
miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan, Rosa Sanchez‐Alvarez, Chiho Kambara, Poojitha Rajasekar, Yuluang Wang, François Halloy, Jonathan Hall, Hans‐Jürgen Stark, Iris Martin, Petra Boukamp, Svitlana Kurinna   +10 more
wiley   +1 more source

A cellular system to study responses to a collision between the transcription complex and a protein‐bound nick in the DNA template

FEBS Letters, EarlyView.
We present the cellular transcription‐coupled Flp‐nick system allowing the introduction of a Top1‐mimicking cleavage complex (Flpcc) at a Flp recognition target site within a controllable LacZ gene. LacZ transcription leads to the collision of RNA polymerase II (RNAPII) with Flpcc, and this causes RNAPII stalling, ubiquitination, and degradation.
Petra Herring, Morten Roedgaard, Camilla Myrup Holst, Helene Christensen, Birgitta R. Knudsen, Lotte Bjergbaek, Anni Hangaard Andersen   +6 more
wiley   +1 more source

Designer Gene Networks: Towards Fundamental Cellular Control

, 2001
The engineered control of cellular function through the design of synthetic genetic networks is becoming plausible. Here we show how a naturally occurring network can be used as a parts list for artificial network design, and how model formulation leads ...
Ackers, Arkin, Barkai, Becksei, Bialek, Bray, Chen, Dickson, Elowitz, Endy, Gardner, Gillespie, Glass, Glass, Glass, Hammond, Harada, Harding, Hartwell, Hasty, Jacob, Johnson, Johnson, Kauffman, Keller, Lauffenburger, Lowman, McAdams, McAdams, McAdams, McClure, Meyer, Monod, Monod, Moran, Novak, Novak, Novick, Ohlendorf, Palsson, Ptaschne, Reinitz, Rozanov, Samoilov, Sancho, Savageau, Savageau, Savageau, Shea, Smolen, Sveiczer, Szafranski, Tyson, Villaverde, von Hippel, Wolf, Wong   +56 more
core   +1 more source