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Nader Pourmand

Researcher at University of California, Santa Cruz

Publications -  138
Citations -  9066

Nader Pourmand is an academic researcher from University of California, Santa Cruz. The author has contributed to research in topics: Multiplex & Transcriptome. The author has an hindex of 48, co-authored 138 publications receiving 8331 citations. Previous affiliations of Nader Pourmand include Texas Southern University & University of California.

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Journal ArticleDOI

Label-Free Impedance Biosensors: Opportunities and Challenges.

TL;DR: The affinity capture step leads to challenges shared by all label-free affinity biosensors; these challenges are discussed along with others unique to impedance readout.
PatentDOI

Patterns of known and novel small RNAS in human cervical cancer

TL;DR: A direct sequencing method is used to characterize the profiles of miRNAs and other small RNA segments for six human cervical carcinoma cell lines and five normal cervical samples, and finds a number of novel mi RNAs and an additional set of small RNAs that do not meet miRNA criteria.
Journal ArticleDOI

Acceleration of Emergence of Bacterial Antibiotic Resistance in Connected Microenvironments

TL;DR: Resistance of Escherichia coli to the antibiotic ciprofloxacin developed within 10 hours, and whole-genome sequencing of the resistant organisms revealed that four functional single-nucleotide polymorphisms attained fixation.
Journal ArticleDOI

Multiplex protein assays based on real-time magnetic nanotag sensing

TL;DR: The multianalyte ability, sensitivity, scalability, and ease of use of the MNT-based protein assay technology make it a strong contender for versatile and portable molecular diagnostics in both research and clinical settings.
Journal ArticleDOI

Highly-multiplexed barcode sequencing: an efficient method for parallel analysis of pooled samples

TL;DR: The successful 96-plexing of complex pools of DNA barcoded yeast mutants is reported and it is shown that such ‘Bar-seq’ assessment of these samples is comparable with data provided by barcode microarrays, the current benchmark for this application.