Published January 31, 2007 | Version v1
Journal article

Single molecule transcription profiling with AFM

  • 1. Department of Chemistry and Biochemistry, UCLA, Los Angeles, CA 90095 (United States)
  • 2. Departments of Computer Science and Mathematics, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 (United States)
  • 3. Veeco Instruments, Santa Barbara, CA 93117 (United States)
  • 4. Department of Pathology and Center for Cell Control, an NIH Nanomedicine Development Center, UCLA, Los Angeles, CA 90095 (United States)

Description

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

Additional details

Identifiers

DOI
10.1088/0957-4484/18/4/044032;
PII
S0957-4484(07)36163-1;

Publishing Information

Journal Title
Nanotechnology (Print)
Journal Volume
18
Journal Issue
4
Journal Page Range
p. 044032
ISSN
0957-4484

Conference

Title
International conference on nanoscience and technology (ICN and T)
Acronym
ICN and T 2006
Dates
30 Jul - 4 Aug 2006
Place
Basel (Switzerland)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38089282
Subject category
S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ATOMIC FORCE MICROSCOPY; DENSITY; ENZYMES; GENES; MOLECULES; NANOSTRUCTURES; PLASMIDS; SENSITIVITY
Descriptors DEC
CELL CONSTITUENTS; MICROSCOPY; ORGANIC COMPOUNDS; PHYSICAL PROPERTIES; PROTEINS