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Single molecule transcription profiling with AFM*

Jason Reed et al 2007 Nanotechnology 18 044032 (15pp)   doi: 10.1088/0957-4484/18/4/044032  Help

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Jason Reed1,6, Bud Mishra2, Bede Pittenger3, Sergei Magonov3, Joshua Troke4, Michael A Teitell4,5 and James K Gimzewski1,5,6
1 Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095, USA
2 Departments of Computer Science and Mathematics, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA
3 Veeco Instruments, Santa Barbara, CA 93117, USA
4 Department of Pathology and the Center for Cell Control, an NIH Nanomedicine Development Center, UCLA, Los Angeles, CA 90095, USA
5 California Nanosystems Institute (CNSI), Los Angeles, CA 90095, USA
6 Address for correspondence: Department of Chemistry and Biochemistry, University of California at Los Angeles, 607 Charles Young Drive East, Los Angeles, CA 90095, USA
E-mail: jreed@chem.ucla.edu and gim@chem.ucla.edu

Abstract. Established techniques for global gene expression profiling, such as microarrays, face fundamental sensitivity constraints. Due to greatly increasing interest in examining minute samples from micro-dissected tissues, including single cells, unorthodox approaches, including molecular nanotechnologies, are being explored in this application. Here, we examine the use of single molecule, ordered restriction mapping, combined with AFM, to measure gene transcription levels from very low abundance samples. We frame the problem mathematically, using coding theory, and present an analysis of the critical error sources that may serve as a guide to designing future studies. We follow with experiments detailing the construction of high density, single molecule, ordered restriction maps from plasmids and from cDNA molecules, using two different enzymes, a result not previously reported. We discuss these results in the context of our calculations.

* Based on invited talk at the International Conference on Nanoscience and Technology 2006.

Print publication: Issue 4 (31 January 2007)
Received 1 November 2006, in final form 5 December 2006
Published 21 December 2006

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