Using deep sequencing (deepCAGE), the FANTOM4 study measured the genome-wide dynamics of transcription-start-site usage in the human monocytic cell line THP-1 throughout a time course of growth arrest and differentiation. Modeling the expression dynamics in terms of predicted cis-regulatory sites, we identified the key transcription regulators, their time-dependent activities and target genes. Systematic siRNA knockdown of 52 transcription factors confirmed the roles of individual factors in the regulatory network. Our results indicate that cellular states are constrained by complex networks involving both positive and negative regulatory interactions among substantial numbers of transcription factors and that no single transcription factor is both necessary and sufficient to drive the differentiation process.

Changes in protein glycosylation profoundly affect protein function. To understand these effects of altered protein glycosylation, we urgently need high-throughput technologies to analyze glycan expression and glycan-protein interactions. Methods are not available for amplification of glycans; therefore, highly efficient sample preparation is a major issue. Here we present a novel strategy that allows flexible and sequential incorporation of various functional tags into oligosaccharides derived from biological samples in a practical manner. When combined with a chemoselective glycoblotting platform, our analysis enables us to complete sample preparation (from serum to released, purified, methyl-esterified, and labeled glycans) in 8 h from multiple serum samples (up to 96 samples) using a 96-well microplate format and a standard de-N-glycosylation protocol that requires reductive alkylation and tryptic digestion prior to PNGase F digestion to ensure maximal de-N-glycosylation efficiency. Using this technique, we quantitatively detected more than 120 glycans on human carcinoembryonic antigens for the first time. This approach was further developed to include a streamlined method of purification, chromatographic fractionation, and immobilization onto a solid support for interaction analysis. Since our approach enables rapid, flexible, and highly efficient tag conversion, it will contribute greatly to a variety of glycomic studies.

Global glycomics of human whole serum glycoproteins appears to be an innovative and comprehensive approach to identify surrogate non-invasive biomarkers for various diseases. Despite the fact that quantitative glycomics is premised on highly efficient and reproducible oligosaccharide liberation from human serum glycoproteins, it should be noted that there is no validated protocol for which deglycosylation efficiency is proven to be quantitative. To establish a standard procedure to evaluate N-glycan release from whole human serum glycoproteins by peptide-N-glycosidase F (PNGase F) treatment, we determined the efficiencies of major N-glycan liberation from serum glycoproteins in the presence of reducing agents, surfactants, protease treatment, or combinations of pretreatments prior to PNGase F digestion. We show that de-N-glycosylation efficiency differed significantly depending on the condition used, indicative of the importance of a standardized protocol for the accumulation and comparison of glycomics data. Maximal de-N-glycosylation was achieved when serum was subjected to reductive alkylation in the presence of 2-hydroxyl-3-sulfopropyl dodecanoate, a surfactant used for solubilizing proteins, or related analogues, followed by tryptic digestion prior to PNGase F treatment. An optimized de-N-glycosylation protocol permitted relative and absolute quantitation of up to 34 major N-glycans present in serum glycoproteins of normal subjects for the first time. Moreover PNGase F-catalyzed de-