Biomedical subjects

Si Wu

Publications and source records attributed to Si Wu.

16 recordsLinked to original sources

PubMed2025

The homeostasis of β-alanine is key for Arabidopsis reproductive growth and development.

β-Alanine, an abundant non-proteinogenic amino acid, acts as a precursor for coenzyme A and plays a role in various stress responses. However, a comprehensive understanding of its metabolism in plants remains incomplete. Previous metabolic genome-wide association studies (mGWAS) identified ALANINE:GLYOXYLATE AMINOTRANSFERASE2 (AGT2, AT4G39660) linked to β-alanine levels in Arabidopsis under normal conditions. In this study, we aimed to deepen our insights into β-alanine regulation by conducting mGWAS under two contrasting environmental conditions: control (12 h photoperiod, 21°C, 150 μmol m-2 sec-1) and stress (harvested after 1820 min at 32°C and darkness). We identified two highly significant quantitative trait loci (QTL) for β-alanine, including the AGT2 locus associated in both environments and ALDEHYDE DEHYDROGENASE6B2 (ALDH6B2, AT2G14170) associated only under stress conditions. A coexpression-correlation network revealed that the regulatory pathway involving β-alanine levels, AGT2, and ALDH6B2 connects the branched chained amino acid (BCAA) degradation through the propionate pathway. Metabolic profiles of AGT2 overexpression (OE) and knock-out (KO) lines (agt2) across various organs and developmental stages established the critical role of AGT2 in β-alanine metabolism. This work underscores the importance of β-alanine homeostasis for proper growth and development in Arabidopsis.

Arabidopsis↗

PubMed2006

A bifunctional monolithic column for combined protein preconcentration and digestion for high throughput proteomics research.

Enzymatic digestion of proteins is a key step in protein identification by mass spectrometry (MS). Traditional solution-based protein digestion methods require long incubation times and are limitations for high throughput proteomics research. Recently, solid phase digestion (e.g. trypsin immobilization on solid supports) has become a useful strategy to accelerate the speed of protein digestion and eliminate autodigestion by immobilizing and isolating the enzyme moieties on solid supports. Monolithic media is an attractive support for immobilization of enzymes due to its unique properties that include fast mass transfer, stability in most solvents, and versatility of functional groups on the surfaces of monoliths. We prepared immobilized trypsin monolithic capillaries for on-column protein digestion, analyzed the digested peptides through LC/FTICR tandem MS, and compared peptide mass fingerprinting by MALDI-TOF-MS. To further improve the digestion efficiency for low abundance proteins, we introduced C4 functional groups onto the monolith surfaces to combine on-column protein enrichment and digestion. Compared with immobilized trypsin monolithic capillaries without C4, the immobilized trypsin-C4 monolith showed improved digestion efficiency. A mechanism for increased efficiency from the combination of sample enrichment and on-column digestion is also proposed in this paper. Moreover, we investigated the effects of organic solvent on digestion and detection by comparing the observed digested peptide sequences. Our data demonstrated that all columns showed good tolerance to organic solvents and maintained reproducible enzymatic activity for at least 30 days.

Animals↗

PubMed2006

A fast and efficient procedure to produce scFvs specific for large macromolecular complexes.

We have expanded the application of antibody phage display to a new type of antigen: ribonucleoprotein (RNP) complexes. We describe a simple and efficient method for screening antibodies specific for large intact RNPs and individual components. We also describe a fast and easy method to overcome the abundance of amber stop codons in the positive phage clones. The resulting antibodies have been used in ELISA and Western blot analysis.

Antibodies, Monoclonal↗

PubMed2006

Incorporation of a flared inlet capillary tube on a fourier transform ion cyclotron resonance mass spectrometer.

Flared inlet capillary tubes have been coupled with a Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer to help the ion transmission from the atmospheric pressure to the first vacuum region. We investigated different types of atmospheric pressure ionization methods using flared inlet tubes. For most of the ionization methods, such as ESI and DESI, increased ion current transmitted from the atmospheric pressure ion source to the first stage vacuum system was observed with the use of our enhanced ion inlet designs. The corresponding ion intensity detected on a FT-ICR mass spectrometer was also observed to increase two- to fivefold using ESI or DESI with the flared tube inlet. Moreover, increased spray tip positional tolerance was observed with implementation of the flared inlet tube. We also include our preliminary results obtained by coupling AP-MALDI with flared inlet tube in this paper. For AP-MALDI, the measured ion current transferred through the flared inlet tube was about 2 to 3 times larger than the ion current through the control non-flared inlet tube.

Angiotensins↗

PubMed2005

A hybrid LC-Gel-MS method for proteomics research and its application to protease functional pathway mapping.

Two-dimensional (2D) gel electrophoresis is the most common protein separation method in proteomics research. It can provide high resolution and high sensitivity. However, 2D gel methods have several limitations, such as labor-intensive procedures, poor reproducibility, and limited dynamic range of detection. In fact, many investigators have returned to couple the one-dimensional (1D) SDS-PAGE with mass spectrometry for protein identification. The limitation of this approach is the increased protein complexity in each one-dimensional gel band. To overcome this problem and provide reproducible quantitative information, we describe here a 2D method for protein mixture separation using a combination of high performance liquid chromatography (HPLC) and 1D SDS-PAGE. The study shows that the step-gradient fractionation method we have applied provides excellent reproducibility. In addition, high mass accuracy of LC-FTICR-MS can allow more confident protein identifications by high resolution and ultra-high mass measurement accuracy. This approach was applied to comparative proteomics since protein abundance level changes can be easily visualized with side-by-side vertical comparison in one gel. Furthermore, separation of multi-samples in the same gel significantly reduces run-to-run variation, as is shown with differential image gel electrophoresis (DIGE). Finally, this approach readily incorporates immunological methods to normalize relative abundances of multiple samples within a single gel. This paper presents the results of our developments and our initial application of this strategy for mapping protease function of beta amyloid cleaving enzyme (BACE) in biological systems.

Amyloid Precursor Protein Secretases↗

PubMed2005

Computing with continuous attractors: stability and online aspects.

Two issues concerning the application of continuous attractors in neural systems are investigated: the computational robustness of continuous attractors with respect to input noises and the implementation of Bayesian online decoding. In a perfect mathematical model for continuous attractors, decoding results for stimuli are highly sensitive to input noises, and this sensitivity is the inevitable consequence of the system's neutral stability. To overcome this shortcoming, we modify the conventional network model by including extra dynamical interactions between neurons. These interactions vary according to the biologically plausible Hebbian learning rule and have the computational role of memorizing and propagating stimulus information accumulated with time. As a result, the new network model responds to the history of external inputs over a period of time, and hence becomes insensitive to short-term fluctuations. Also, since dynamical interactions provide a mechanism to convey the prior knowledge of stimulus, that is, the information of the stimulus presented previously, the network effectively implements online Bayesian inference. This study also reveals some interesting behavior in neural population coding, such as the trade-off between decoding stability and the speed of tracking time-varying stimuli, and the relationship between neural tuning width and the tracking speed.

Humans↗

PubMed2004

A role for beta-actin in RNA polymerase III transcription.

When transcription from the human U6 snRNA gene is reconstituted with recombinant factors and purified RNA polymerase III (pol III), pol III must be treated with CK2 to be active. We show that highly purified pol III contains associated beta-actin, and beta-actin localizes to an active U6 promoter in vivo. Pol III immunoprecipitated from IMR90 cells treated with a genotoxic agent lacks associated beta-actin and is inactive in the reconstituted assay. Transcription is regained upon treatment of pol III with CK2 and addition of beta-actin. This suggests that beta-actin associated with pol III is essential for basal pol III transcription.

Actins↗

PubMed2004

CK2 phosphorylation of Bdp1 executes cell cycle-specific RNA polymerase III transcription repression.

RNA polymerase III (pol III) transcription from the human U6 snRNA promoter can be reconstituted with the recombinant factors SNAPc and Brf2-TFIIIB combined with purified pol III. In this system, CK2 treatment of the pol III complex is required for transcription, whereas treatment of Brf2-TFIIIB is inhibitory. Here we show that CK2 inhibits Brf2-TFIIIB by specifically phosphorylating its Bdp1 component. Bdp1 is phosphorylated by CK2 during mitosis, and this is accompanied by Bdp1 dissociation from the U6 promoter and from chromatin in general and by transcription repression. Remarkably, whereas inhibition of CK2 in mitotic extracts restores pol III transcription, inhibition of CK2 in active S phase extracts debilitates transcription. Thus, CK2 is directed to phosphorylate different targets within the basal pol III transcription machinery at different times during the cell cycle, with opposite transcriptional effects.

Casein Kinase II↗

PubMed2004

Information processing in a neuron ensemble with the multiplicative correlation structure.

The present study investigates the performance of population codes when the fluctuations in neural activity have mutual correlation with strength being proportional to the neuronal firing rate (multiplicative noise). The neural field is used to calculate the Fisher information, which is decomposed in two parts, one due to the tuning function and spatial correlation, and the other due to the multiplicative structure. Their different characteristics are studied. The paper also investigates three types of maximum likelihood method, namely, decoding by using faithful and unfaithful models and the Center of Mass strategy, and compares their performances in terms of decoding accuracy and computational complexity.

Models, Neurological↗

PubMed2003

Polymerization of calsequestrin. Implications for Ca2+ regulation.

Two distinct dimerization contacts in calsequestrin crystals suggested a mechanism for Ca(2+) regulation resulting from the occurrence of coupled Ca(2+) binding and protein polymerization. Ca(2+)-induced formation of one contact was proposed to lead to dimerization followed by Ca(2+)-induced formation of the second contact to bring about polymerization (). To test this mechanism, we compared canine cardiac calsequestrin and four truncation mutants with regard to their folding properties, structures, and Ca(2+)-induced polymerization. The wild-type calsequestrin and truncation mutants exhibited similar K(+)-induced folding and end-point structures as indicated by intrinsic fluorescence and circular dichroism, respectively, whereas the polymerization tendencies of the wild-type calsequestrin differed markedly from the polymerization tendencies of the truncation mutants. Static laser light scattering and 3,3'-dithiobis sulfosuccinimidyl-propionate cross-linking indicated that wild-type protein exhibited an initial Ca(2+)-induced dimerization, followed by additional oligomerization as the Ca(2+) concentration was raised or as the K(+) concentration was lowered. None of the truncation mutants exhibited clear stepwise oligomerization that depended on increasing Ca(2+) concentration. Comparison of the three-dimensional structure of rabbit skeletal calsequestrin with a homology model of canine cardiac calsequestrin from the point of view of our coupled Ca(2+) binding and polymerization mechanism leads to a possible explanation for the 2-fold reduced Ca(2+) binding capacity of cardiac calsequestrin despite very similar overall net negative charge for the two proteins.

Amino Acid Sequence↗

PubMed2003

A minimal RNA polymerase III transcription system from human cells reveals positive and negative regulatory roles for CK2.

In higher eukaryotes, RNA polymerase (pol) III is known to use different transcription factors to recognize three basic types of promoters, but in no case have these transcription factors been completely defined. We show that a highly purified pol III complex combined with the recombinant transcription factors SNAP(c), TBP, Brf2, and Bdp1 directs multiple rounds of transcription initiation and termination from the human U6 promoter. The pol III complex contains traces of CK2, and CK2 associates with the U6 promoter region in vivo. Transcription requires CK2 phosphorylation of the pol III complex. In contrast, CK2 phosphorylation of TBP, Brf2, and Bdp1 combined is inhibitory. The results define a minimum core machinery, the ultimate target of regulatory mechanisms, capable of directing all steps of the transcription process-initiation, elongation, and termination-by a metazoan RNA polymerase, and suggest positive and negative regulatory roles for CK2 in transcription by pol III.

ATPases Associated with Diverse Cellular Activitie↗

PubMed2003

Synchronous firing and higher-order interactions in neuron pool.

The stochastic mechanism of synchronous firing in a population of neurons is studied from the point of view of information geometry. Higher-order interactions of neurons, which cannot be reduced to pairwise correlations, are proved to exist in synchronous firing. In a neuron pool where each neuron fires stochastically, the probability distribution q(r) of the activity r, which is the fraction of firing neurons in the pool, is studied. When q(r) has a widespread distribution, in particular, when q(r) has two peaks, the neurons fire synchronously at one time and are quiescent at other times. The mechanism of generating such a probability distribution is interesting because the activity r is concentrated on its mean value when each neuron fires independently, because of the law of large numbers. Even when pairwise interactions, or third-order interactions, exist, the concentration is not resolved. This shows that higher-order interactions are necessary to generate widespread activity distributions. We analyze a simple model in which neurons receive common overlapping inputs and prove that such a model can have a widespread distribution of activity, generating higher-order stochastic interactions.

Neurons↗

PubMed2003

Sequential Bayesian decoding with a population of neurons.

Population coding is a simplified model of distributed information processing in the brain. This study investigates the performance and implementation of a sequential Bayesian decoding (SBD) paradigm in the framework of population coding. In the first step of decoding, when no prior knowledge is available, maximum likelihood inference is used; the result forms the prior knowledge of stimulus for the second step of decoding. Estimates are propagated sequentially to apply maximum a posteriori (MAP) decoding in which prior knowledge for any step is taken from estimates from the previous step. Not only do we analyze the performance of SBD, obtaining the optimal form of prior knowledge that achieves the best estimation result, but we also investigate its possible biological realization, in the sense that all operations are performed by the dynamics of a recurrent network. In order to achieve MAP, a crucial point is to identify a mechanism that propagates prior knowledge. We find that this could be achieved by short-term adaptation of network weights according to the Hebbian learning rule. Simulation results on both constant and time-varying stimulus support the analysis.

Bayes Theorem↗

PubMed2002

Characterization of human RNA polymerase III identifies orthologues for Saccharomyces cerevisiae RNA polymerase III subunits.

Unlike Saccharomyces cerevisiae RNA polymerase III, human RNA polymerase III has not been entirely characterized. Orthologues of the yeast RNA polymerase III subunits C128 and C37 remain unidentified, and for many of the other subunits, the available information is limited to database sequences with various degrees of similarity to the yeast subunits. We have purified an RNA polymerase III complex and identified its components. We found that two RNA polymerase III subunits, referred to as RPC8 and RPC9, displayed sequence similarity to the RNA polymerase II RPB7 and RPB4 subunits, respectively. RPC8 and RPC9 associated with each other, paralleling the association of the RNA polymerase II subunits, and were thus paralogues of RPB7 and RPB4. Furthermore, the complex contained a prominent 80-kDa polypeptide, which we called RPC5 and which corresponded to the human orthologue of the yeast C37 subunit despite limited sequence similarity. RPC5 associated with RPC53, the human orthologue of S. cerevisiae C53, paralleling the association of the S. cerevisiae C37 and C53 subunits, and was required for transcription from the type 2 VAI and type 3 human U6 promoters. Our results provide a characterization of human RNA polymerase III and show that the RPC5 subunit is essential for transcription.

Amino Acid Sequence↗

PubMed2002

Population coding and decoding in a neural field: a computational study.

This study uses a neural field model to investigate computational aspects of population coding and decoding when the stimulus is a single variable. A general prototype model for the encoding process is proposed, in which neural responses are correlated, with strength specified by a gaussian function of their difference in preferred stimuli. Based on the model, we study the effect of correlation on the Fisher information, compare the performances of three decoding methods that differ in the amount of encoding information being used, and investigate the implementation of the three methods by using a recurrent network. This study not only rediscovers main results in existing literatures in a unified way, but also reveals important new features, especially when the neural correlation is strong. As the neural correlation of firing becomes larger, the Fisher information decreases drastically. We confirm that as the width of correlation increases, the Fisher information saturates and no longer increases in proportion to the number of neurons. However, we prove that as the width increases further--wider than (sqrt)2 times the effective width of the turning function--the Fisher information increases again, and it increases without limit in proportion to the number of neurons. Furthermore, we clarify the asymptotic efficiency of the maximum likelihood inference (MLI) type of decoding methods for correlated neural signals. It shows that when the correlation covers a nonlocal range of population (excepting the uniform correlation and when the noise is extremely small), the MLI type of method, whose decoding error satisfies the Cauchy-type distribution, is not asymptotically efficient. This implies that the variance is no longer adequate to measure decoding accuracy.

Neural Networks, Computer↗

PubMedDate not supplied

Increased protein identification capabilities through novel tandem MS calibration strategies.

High mass measurement accuracy is critical for confident protein identification and characterization in proteomics research. Fourier transform ion cyclotron resonance (FTICR) mass spectrometry is a unique technique which can provide unparalleled mass accuracy and resolving power. However, the mass measurement accuracy of FTICR-MS can be affected by space charge effects. Here, we present a novel internal calibrant-free calibration method that corrects for space charge-induced frequency shifts in FTICR fragment spectra called Calibration Optimization on Fragment Ions (COFI). This new strategy utilizes the information from fixed mass differences between two neighboring peptide fragment ions (such as y(1) and y(2)) to correct the frequency shift after data collection. COFI has been successfully applied to LC-FTICR fragmentation data. Mascot MS/MS ion search data demonstrate that most of the fragments from BSA tryptic digested peptides can be identified using a much lower mass tolerance window after applying COFI to LC-FTICR-MS/MS of BSA tryptic digest. Furthermore, COFI has been used for multiplexed LC-CID-FTICR-MS which is an attractive technique because of its increased duty cycle and dynamic range. After the application of COFI to a multiplexed LC-CID-FTICR-MS of BSA tryptic digest, we achieved an average measured mass accuracy of 2.49 ppm for all the identified BSA fragments.

Algorithms↗