 Connection
Leslie Leinwand to Polymerase Chain Reaction
This is a "connection" page, showing publications Leslie Leinwand has written about Polymerase Chain Reaction.
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Connection Strength |
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0.166 |
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Sartorius CA, Lu BD, Acakpo-Satchivi L, Jacobsen RP, Byrnes WC, Leinwand LA. Myosin heavy chains IIa and IId are functionally distinct in the mouse. J Cell Biol. 1998 May 18; 141(4):943-53.
Score: 0.030
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Sindhwani R, Ismail-Beigi F, Leinwand LA. Post-transcriptional regulation of rat alpha cardiac myosin heavy chain gene expression. J Biol Chem. 1994 Feb 04; 269(5):3272-6.
Score: 0.022
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Yoon SJ, Seiler SH, Kucherlapati R, Leinwand L. Organization of the human skeletal myosin heavy chain gene cluster. Proc Natl Acad Sci U S A. 1992 Dec 15; 89(24):12078-82.
Score: 0.021
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Fishman GI, Eddy RL, Shows TB, Rosenthal L, Leinwand LA. The human connexin gene family of gap junction proteins: distinct chromosomal locations but similar structures. Genomics. 1991 May; 10(1):250-6.
Score: 0.018
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Lemon DD, Horn TR, Cavasin MA, Jeong MY, Haubold KW, Long CS, Irwin DC, McCune SA, Chung E, Leinwand LA, McKinsey TA. Cardiac HDAC6 catalytic activity is induced in response to chronic hypertension. J Mol Cell Cardiol. 2011 Jul; 51(1):41-50.
Score: 0.018
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Fishman GI, Spray DC, Leinwand LA. Molecular characterization and functional expression of the human cardiac gap junction channel. J Cell Biol. 1990 Aug; 111(2):589-98.
Score: 0.017
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Karsch-Mizrachi I, Feghali R, Shows TB, Leinwand LA. Generation of a full-length human perinatal myosin heavy-chain-encoding cDNA. Gene. 1990 May 14; 89(2):289-94.
Score: 0.017
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Saez CG, Myers JC, Shows TB, Leinwand LA. Human nonmuscle myosin heavy chain mRNA: generation of diversity through alternative polyadenylylation. Proc Natl Acad Sci U S A. 1990 Feb; 87(3):1164-8.
Score: 0.017
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Feghali R, Karsch-Mizrachi I, Leinwand LA, Kohtz DS. Four sarcomeric myosin heavy chain genes are expressed by human fetal skeletal muscle cells differentiating in culture. Gene Expr. 1992; 2(1):49-58.
Score: 0.005
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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