Was Fliegen haben, besitzen wir auch: Die Entdeckung der period-Gene und des clock-Gens bei Mensch und Maus

Author(s):  
Gregor Eichele ◽  
Henrik Oster
Keyword(s):  
2002 ◽  
Vol 19 (6) ◽  
pp. 1023-1040 ◽  
Author(s):  
George Guan-Hua Lin ◽  
Ruey-Fen Liou ◽  
How-Jing Lee
Keyword(s):  

1998 ◽  
Vol 18 (11) ◽  
pp. 6505-6514 ◽  
Author(s):  
Yuzhong Cheng ◽  
Barbara Gvakharia ◽  
Paul E. Hardin

ABSTRACT The period (per) and timeless(tim) genes encode key components of the circadian oscillator in Drosophila melanogaster. The pergene is thought to encode three transcripts via differential splicing (types A, B, and C) that give rise to three proteins. Since the threeper mRNA types were based on the analysis of cDNA clones, we tested whether these mRNA types were present in vivo by RNase protection assays and reverse transcriptase-mediated PCR. The results show that per generates two transcript types that differ only by the presence (type A) or absence (type B′) of an alternative intron in the 3′ untranslated region. Transgenic flies containing transgenes that produce only type B′ transcripts (perB′ ), type A transcripts (perA ), or both transcripts (perG ) rescue locomotor activity rhythms with average periods of 24.7, 25.4, and 24.4 h, respectively. Although no appreciable differences in type A and type B′ mRNA cycling were observed, a slower accumulation of PER in flies making only type A transcripts suggests that the intron affects the translation ofper mRNA.


2010 ◽  
Vol 105 (7) ◽  
pp. 928-930 ◽  
Author(s):  
Oscar D Salomón ◽  
Alejandra S Araki ◽  
James GC Hamilton ◽  
Soraya A Acardi ◽  
Alexandre A Peixoto

Neuron ◽  
1991 ◽  
Vol 6 (5) ◽  
pp. 753-766 ◽  
Author(s):  
Xin Liu ◽  
Qiang Yu ◽  
Zuoshi Huang ◽  
Laurence J. Zwiebel ◽  
Jeffrey C. Hall ◽  
...  

Nature ◽  
1990 ◽  
Vol 343 (6258) ◽  
pp. 536-540 ◽  
Author(s):  
Paul E. Hardin ◽  
Jeffrey C. Hall ◽  
Michael Rosbash

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Ali Jamali Nazari ◽  
Dariush Sardari ◽  
Ahmad Reza Vali ◽  
Keivan Maghooli

Modeling the tumor behavior in the host organ as function of time and radiation dose has been a major study in the previous decades. Here the effort in estimation of cancerous and normal cell proliferation and growth in glioblastoma multiform (GBM) tumor is presented. This paper introduces a new mathematical model in the form of differential equation of tumor growth. The model contains dose delivery amount in the treatment scheme as an input term. It also can be utilized to optimize the treatment process in order to increase the patient survival period. Gene expression programming (GEP) as a new concept is used for estimating this model. The LQ model has also been applied to GEP as an initial value, causing acceleration and improvement of the algorithm estimation. The model shows the number of the tumor and normal brain cells during the treatment process using the status of normal and cancerous cells in the initiation of treatment, the timing and amount of dose delivery to the patient, and a coefficient that describes the brain condition. A critical level is defined for normal cell when the patient’s death occurs. In the end the model has been verified by clinical data obtained from previous accepted formulae and some of our experimental resources. The proposed model helps to predict tumor growth during treatment process in which further treatment processes can be controlled.


Science ◽  
1995 ◽  
Vol 270 (5237) ◽  
pp. 808-810 ◽  
Author(s):  
A. Sehgal ◽  
A. Rothenfluh-Hilfiker ◽  
M. Hunter-Ensor ◽  
Y. Chen ◽  
M. P. Myers ◽  
...  

2001 ◽  
Vol 59 (4) ◽  
pp. 894-900 ◽  
Author(s):  
Takato Nikaido ◽  
Masashi Akiyama ◽  
Takahiro Moriya ◽  
Shigenobu Shibata

2003 ◽  
Vol 2003 (Spring) ◽  
Author(s):  
Fred Kippert ◽  
Samira Charad-Ehlers

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