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Yu Xia

Publications and source records attributed to Yu Xia.

At least 19 recordsLinked to original sources
PubMed2026

Generation and Phenotypic Characterization of a CRISPR/Cas9-Engineered Cracd-Deficient Mouse Model for Post-Myocardial Infarction Remodeling Studies.

Myocardial infarction (MI) remains a major cause of morbidity and mortality worldwide. This protocol describes a method for generating and characterizing a Cracd-deficient mouse line on the C57BL/6N background using CRISPR/Cas9 technology. Zygotes were co-injected with Cas9 mRNA, a gRNA construct, and a donor template designed to generate a 3153-bp genomic deletion. The edited allele was confirmed by PCR genotyping and Sanger sequencing. To assess the functional role of CRACD in post-MI remodeling, Cracd-deficient and wild-type (WT, C57BL/6N) mice underwent MI induced by permanent ligation of the left anterior descending coronary artery. On postoperative day 7, cardiac function and left ventricular wall motion were assessed using transthoracic echocardiography and speckle-tracking strain imaging, followed by histopathological evaluation with H&E and Masson's trichrome staining. Representative results showed that Cracd-deficient mice exhibited reduced ventricular dilation and preserved systolic function compared to WT controls. This protocol provides a reliable experimental platform for mechanistic studies of CRACD in cardiac pathophysiology.

Animals↗
PubMed2026

Hypoxia-activated scleraxis a mediates epicardial progenitor differentiation into a unique cardiac perivascular cell type.

The epicardium provides progenitor cells and paracrine signals essential for heart development and regeneration, yet the mechanisms regulating epicardial cell fate remain poorly understood. Here, we identify the transcription factor Scleraxis a (scxa) as a key regulator of epicardial progenitor differentiation in zebrafish. Single-cell transcriptomics, genetic lineage tracing, and cardiac injury models reveal transient scxa expression in activated epicardial progenitor cells (aEPCs) during developmental coronary angiogenesis and heart regeneration. scxa+ epicardial cells predominantly differentiate into a previously uncharacterized col18a1a+ perivascular population, termed epicardial-derived perivascular mesenchymal cells (Epi-PMCs), which is distinct from pericytes, vascular smooth muscle cells, and mammalian adventitial fibroblasts. Epi-PMCs closely associate with coronary vessels and may contribute to vascular stabilization and remodeling, potentially through collagen XVIII. Loss of scxa increases coronary vessel density. Hypoxia and Hif signaling induce scxa expression, identifying a hypoxia-responsive mechanism that promotes epicardial differentiation toward a vascular-supportive fate during heart development and regeneration.

Animals↗
PubMed2005

Sonic spray as a dual polarity ion source for ion/ion reactions.

A single sonic spray source has been used to generate both positive and negative ions for subsequent ion/ion reaction experiments. Ion/ion reactions took place after ions of each polarity were sequentially injected into a linear ion trap, where axial trapping was effected by applying an auxiliary radio frequency voltage to one end lens. Absolute charge reductions via proton transfer were demonstrated for multiply charged protein/peptide cations and multiply charged oligonucleotide anions. Deprotonation of polypeptide cations occurs with anions derived from fluorinated compounds such as nonadecafluoro-1-decanol and perfluoro-1-octanol, while multiply charged oligonucleotide anions are efficiently protonated via reaction with proton sponge (N,N,N',N'-tetramethyl-1,8-naphthalenediamine) cations. No evidence for signal suppression of the biopolymer ions was noted to result from the presence of these reagents in the solution subjected to sonic spray. Several of the analytically useful applications of ion/ion proton-transfer reactions are demonstrated using a single sonic spray ion source. These include an ion parking experiment for the purpose of gas-phase ion concentration and charge-state reduction of product ions formed via beam-type and in-trap collision-induced dissociation of multiply charged oligonucleotide parent anions. Examples of complex formation are also given to illustrate the flexibility of the sonic spray-induced ion/ion reaction method.

Anions↗
PubMed2005

Sequence variation in G-protein-coupled receptors: analysis of single nucleotide polymorphisms.

We assessed the disease-causing potential of single nucleotide polymorphisms (SNPs) based on a simple set of sequence-based features. We focused on SNPs from the dbSNP database in G-protein-coupled receptors (GPCRs), a large class of important transmembrane (TM) proteins. Apart from the location of the SNP in the protein, we evaluated the predictive power of three major classes of features to differentiate between disease-causing mutations and neutral changes: (i) properties derived from amino-acid scales, such as volume and hydrophobicity; (ii) position-specific phylogenetic features reflecting evolutionary conservation, such as normalized site entropy, residue frequency and SIFT score; and (iii) substitution-matrix scores, such as those derived from the BLOSUM62, GRANTHAM and PHAT matrices. We validated our approach using a control dataset consisting of known disease-causing mutations and neutral variations. Logistic regression analyses indicated that position-specific phylogenetic features that describe the conservation of an amino acid at a specific site are the best discriminators of disease mutations versus neutral variations, and integration of all our features improves discrimination power. Overall, we identify 115 SNPs in GPCRs from dbSNP that are likely to be associated with disease and thus are good candidates for genotyping in association studies.

Amino Acid Substitution↗
PubMed2005

Bis-huperzine B: highly potent and selective acetylcholinesterase inhibitors.

By targeting dual active sites of AChE, a series of bis-huperzine B analogues with various lengths of the tether were designed, synthesized, and tested for their inhibition and selectivity. The most potent bis-huperzine B (5g) exhibited 3900-fold increase in AChE inhibition and 930-fold greater in selectivity for AChE vs BuChE than its parent huperzine B.

Acetylcholinesterase↗
PubMed2005

Mutual storage mode ion/ion reactions in a hybrid linear ion trap.

Ion/ion proton transfer reactions involving mutual storage of both ion polarities in a linear ion trap (LIT) that comprises part of a hybrid triple quadrupole/linear ion trap mass spectrometer have been effected. Mutual ion storage in the x- and y-dimensions arises from the normal operation of the oscillating quadrupole field of the quadrupole array, while storage in the z-dimension is enabled by applying unbalanced radio-frequency amplitudes to opposing sets of rods of the array. Efficient trapping (>90%) is achieved for thermalized ions over periods of several seconds. Reactions were demonstrated for multiply charged protein/peptide cations formed by electrospray with anions derived from glow discharge ionization of perfluoro(methyldecalin) (PMD) introduced from the side of the LIT rod array. Doubly and singly charged protein ions are readily formed via ion/ion reactions. The parameters that affect ion/ion reactions are discussed, including the degree of RF unbalance on the LIT rods, vacuum pressure, nature of the buffer gas, reaction time, anion abundance, and the low mass cutoff for ion/ion reaction. The present system has a demonstrated upper mass-to-charge ratio limit of at least 33,000. The system also has high flexibility with respect to defining MS(n) experiments involving both collision-induced dissociation (CID) and ion/ion reactions. Experiments are demonstrated involving beam-type CID in the pressurized collision quadrupole (Q2) followed by ion/ion reactions involving the product ions in the LIT. Ion parking experiments are also demonstrated using the mutual storage ion/ion reaction mode in the LIT, with a parking efficiency over 60%.

Ions↗
PubMed2005

Assessing the limits of genomic data integration for predicting protein networks.

Genomic data integration--the process of statistically combining diverse sources of information from functional genomics experiments to make large-scale predictions--is becoming increasingly prevalent. One might expect that this process should become progressively more powerful with the integration of more evidence. Here, we explore the limits of genomic data integration, assessing the degree to which predictive power increases with the addition of more features. We focus on a predictive context that has been extensively investigated and benchmarked in the past-the prediction of protein-protein interactions in yeast. We start by using a simple Naive Bayes classifier for integrating diverse sources of genomic evidence, ranging from coexpression relationships to similar phylogenetic profiles. We expand the number of features considered for prediction to 16, significantly more than previous studies. Overall, we observe a small, but measurable improvement in prediction performance over previous benchmarks, based on four strong features. This allows us to identify new yeast interactions with high confidence. It also allows us to quantitatively assess the inter-relations amongst different genomic features. It is known that subtle correlations and dependencies between features can confound the strength of interaction predictions. We investigate this issue in detail through calculating mutual information. To our surprise, we find no appreciable statistical dependence between the many possible pairs of features. We further explore feature dependencies by comparing the performance of our simple Naive Bayes classifier with a boosted version of the same classifier, which is fairly resistant to feature dependence. We find that boosting does not improve performance, indicating that, at least for prediction purposes, our genomic features are essentially independent. In summary, by integrating a few (i.e., four) good features, we approach the maximal predictive power of current genomic data integration; moreover, this limitation does not reflect (potentially removable) inter-relationships between the features.

Algorithms↗
PubMed2005

Use of thioredoxin as a reporter to identify a subset of Escherichia coli signal sequences that promote signal recognition particle-dependent translocation.

We have previously reported that the DsbA signal sequence promotes efficient, cotranslational translocation of the cytoplasmic protein thioredoxin-1 via the bacterial signal recognition particle (SRP) pathway. However, two commonly used signal sequences, those of PhoA and MalE, which promote export by a posttranslational mechanism, do not export thioredoxin. We proposed that this difference in efficiency of export was due to the rapid folding of thioredoxin in the cytoplasm; cotranslational export by the DsbA signal sequence avoids the problem of cytoplasmic folding (C. F. Schierle, M. Berkmen, D. Huber, C. Kumamoto, D. Boyd, and J. Beckwith, J. Bacteriol. 185:5706-5713, 2003). Here, we use thioredoxin as a reporter to distinguish SRP-dependent from non-SRP-dependent cleavable signal sequences. We screened signal sequences exhibiting a range of hydrophobicity values based on a method that estimates hydrophobicity. Successive iterations of screening and refining the method defined a threshold hydrophobicity required for SRP recognition. While all of the SRP-dependent signal sequences identified were above this threshold, there were also a few signal sequences above the threshold that did not utilize the SRP pathway. These results suggest that a simple measure of the hydrophobicity of a signal sequence is an important but not a sufficient indicator for SRP recognition. In addition, by fusing a number of both classes of signal sequences to DsbA, we found that DsbA utilizes an SRP-dependent signal sequence to achieve efficient export to the periplasm. Our results suggest that those proteins found to be exported by SRP-dependent signal sequences may require this mode of export because of their tendency to fold rapidly in the cytoplasm.

Blotting, Western↗
PubMed2004

Positive ion transmission mode ion/ion reactions in a hybrid linear ion trap.

A triple quadrupole mass spectrometer capable of ion trapping experiments has been adapted for ion/ion reaction studies. The instrument is based on a commercially available linear ion trap (LIT) tandem mass spectrometer (i.e., an MDS SCIEX 2000 Q TRAP) that has been modified by mounting an atmospheric sampling glow discharge ionization (ASGDI) source to the side of the vacuum manifold for production of singly charged anions. The ASGDI source is located line of sight to the side of the third quadrupole of the triple quadrupole assembly (Q3). Anions are focused into the side of the rod array (i.e., anion injection occurs orthogonal to the normal ion flight path). A transmission mode method to perform ion/ion reactions has been developed whereby positive ions are transmitted through the pressurized collision quadrupole (Q2) while anions are stored in Q2. The Q2 LIT is used to trap negative ions whereas the Q3 LIT is used to accumulate positive ions transmitted from Q2. Anions are injected to Q3 and transferred to Q2, where they are stored and collisionally cooled. Multiply charged protein/peptide ions, formed by electrospray, are then mass selected by the first quadrupole assembly (Q1) operated in the rf/dc mode and injected into Q2. The positive ions, including the residual precursor ions and the product ions arising from ion/ion proton-transfer reactions, are accumulated in Q3 until they are analyzed via mass-selective axial ejection for mass analysis. The parameters that affect ion/ion reactions are discussed, including pressure, nature of the gas in Q2, and operation of Q2 as a linear accelerator. Ion/ion reactions in this mode can be readily utilized to separate ions with the same m/z but largely different mass and charge, e.g., +1 bradykinin and +16 myoglobin, in the gas phase.

Animals↗
PubMed2004

Selection and characterization of small random transmembrane proteins that bind and activate the platelet-derived growth factor beta receptor.

Growth factor receptors are typically activated by the binding of soluble ligands to the extracellular domain of the receptor, but certain viral transmembrane proteins can induce growth factor receptor activation by binding to the receptor transmembrane domain. For example, homodimers of the transmembrane 44-amino acid bovine papillomavirus E5 protein bind the transmembrane region of the PDGF beta receptor tyrosine kinase, causing receptor dimerization, phosphorylation, and cell transformation. To determine whether it is possible to select novel biologically active transmembrane proteins that can activate growth factor receptors, we constructed and identified small proteins with random hydrophobic transmembrane domains that can bind and activate the PDGF beta receptor. Remarkably, cell transformation was induced by approximately 10% of the clones in a library in which 15 transmembrane amino acid residues of the E5 protein were replaced with random hydrophobic sequences. The transformation-competent transmembrane proteins formed dimers and stably bound and activated the PDGF beta receptor. Genetic studies demonstrated that the biological activity of the transformation-competent proteins depended on specific interactions with the transmembrane domain of the PDGF beta receptor. A consensus sequence distinct from the wild-type E5 sequence was identified that restored transforming activity to a non-transforming poly-leucine transmembrane sequence, indicating that divergent transmembrane sequence motifs can activate the PDGF beta receptor. Molecular modeling suggested that diverse transforming sequences shared similar protein structure, including the same homodimer interface as the wild-type E5 protein. These experiments have identified novel proteins with transmembrane sequences distinct from the E5 protein that can activate the PDGF beta receptor and transform cells. More generally, this approach may allow the creation and identification of small proteins that modulate the activity of a variety of cellular transmembrane proteins.

Animals↗
PubMed2004

Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution.

To understand the physical and evolutionary determinants of protein folding, we map out the complete organization of thermodynamic and kinetic properties for protein sequences that share the same fold. The exhaustive nature of our study necessitates using simplified models of protein folding. We obtain a stability map and a folding rate map in sequence space. Comparison of the two maps reveals a common organizational principle: optimality decreases more or less uniformly with distance from the optimal sequence in the sequence space. This gives a funnel-shaped optimality surface. Evolutionary dynamics of a sequence population on these two maps reveal how the simple organization of sequence space affects the distributions of stability and folding rate preferred by evolution.

Biological Evolution↗
PubMed2004

Nanoelectrospray ionization of protein mixtures: solution pH and protein pI.

Solutions consisting of single proteins and mixtures of proteins at different pH values have been subjected to both positive ion and negative ion nanoelectrospray ionization to study the influence of solvent pH and protein pI on the ionization responses of proteins. As has been noted previously, it is possible to form protein ions of one polarity despite the fact that the proteins are present as the opposite polarity in solution. However, total response under this condition tends to be at least an order of magnitude less than the condition in which the nanoelectrospray ionization polarity is the same as the net charge of the proteins in solution. Furthermore, maximum signals in positive ion mode were noted when the pH value of the solution was 4-5 units lower than the protein pI. In the negative ion mode, maximum protein anion signals were observed when the pH was roughly 5 units higher than the protein pI. While only small changes in the abundance-weighted average charge were noted as a function of solution conditions, the extent of sodium ion incorporation was seen to depend strongly on the relationship between net protein charge in solution and gas-phase ion polarity. Sodium ion incorporation was minimized under conditions of maximum signal (i.e., low pH positive ion mode and high pH negative ion mode). Sodium ion incorporation was highest when the protein ion polarities in solution and the gas phase were opposite. These observations are consistent with the charged residue model for electrospray ionization and suggest that a degree of selectivity for electrospray ionization applied to protein mixtures can be realized via judicious selection of solution pH and ionization polarity. Furthermore, the relative extent of sodium ion incorporation under a given set of conditions appears to correlate, at least qualitatively, with protein pI.

Animals↗
PubMed2004

Simulating protein evolution in sequence and structure space.

Naturally occurring proteins comprise a special subset of all plausible sequences and structures selected through evolution. Simulating protein evolution with simplified and all-atom models has shed light on the evolutionary dynamics of protein populations, the nature of evolved sequences and structures, and the extent to which today's proteins are shaped by selection pressures on folding, structure and function. Extensive mapping of the native structure, stability and folding rate in sequence space using lattice proteins has revealed organizational principles of the sequence/structure map important for evolutionary dynamics. Evolutionary simulations with lattice proteins have highlighted the importance of fitness landscapes, evolutionary mechanisms, population dynamics and sequence space entropy in shaping the generic properties of proteins. Finally, evolutionary-like simulations with all-atom models, in particular computational protein design, have helped identify the dominant selection pressures on naturally occurring protein sequences and structures.

Algorithms↗
PubMed2004

Computational analysis of membrane proteins: genomic occurrence, structure prediction and helix interactions.

We review recent computational advances in the study of membrane proteins, focusing on those that have at least one transmembrane helix. Transmembrane protein regions are, in many respects, easier to investigate computationally than experimentally, due to the uniformity of their structure and interactions (e.g. consisting predominately of nearly parallel helices packed together) on one hand and presenting the challenges of solubility on the other. We present the progress made on identifying and classifying membrane proteins into families, predicting their structure from amino-acid sequence patterns (using many different methods), and analyzing their interactions and packing The total result of this work allows us for the first time to begin to think about the membrane protein interactome, the set of all interactions between distinct transmembrane helices in the lipid bilayer.

Computational Biology↗
PubMed2004

Annotation transfer between genomes: protein-protein interologs and protein-DNA regulogs.

Proteins function mainly through interactions, especially with DNA and other proteins. While some large-scale interaction networks are now available for a number of model organisms, their experimental generation remains difficult. Consequently, interolog mapping--the transfer of interaction annotation from one organism to another using comparative genomics--is of significant value. Here we quantitatively assess the degree to which interologs can be reliably transferred between species as a function of the sequence similarity of the corresponding interacting proteins. Using interaction information from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, and Helicobacter pylori, we find that protein-protein interactions can be transferred when a pair of proteins has a joint sequence identity >80% or a joint E-value <10(-70). (These "joint" quantities are the geometric means of the identities or E-values for the two pairs of interacting proteins.) We generalize our interolog analysis to protein-DNA binding, finding such interactions are conserved at specific thresholds between 30% and 60% sequence identity depending on the protein family. Furthermore, we introduce the concept of a "regulog"--a conserved regulatory relationship between proteins across different species. We map interologs and regulogs from yeast to a number of genomes with limited experimental annotation (e.g., Arabidopsis thaliana) and make these available through an online database at http://interolog.gersteinlab.org. Specifically, we are able to transfer approximately 90,000 potential protein-protein interactions to the worm. We test a number of these in two-hybrid experiments and are able to verify 45 overlaps, which we show to be statistically significant.

Amino Acid Sequence↗
PubMed2004

Analyzing cellular biochemistry in terms of molecular networks.

One way to understand cells and circumscribe the function of proteins is through molecular networks. These networks take a variety of forms including webs of protein-protein interactions, regulatory circuits linking transcription factors and targets, and complex pathways of metabolic reactions. We first survey experimental techniques for mapping networks (e.g., the yeast two-hybrid screens). We then turn our attention to computational approaches for predicting networks from individual protein features, such as correlating gene expression levels or analyzing sequence coevolution. All the experimental techniques and individual predictions suffer from noise and systematic biases. These problems can be overcome to some degree through statistical integration of different experimental datasets and predictive features (e.g., within a Bayesian formalism). Next, we discuss approaches for characterizing the topology of networks, such as finding hubs and analyzing subnetworks in terms of common motifs. Finally, we close with perspectives on how network analysis represents a preliminary step toward a systems approach for modeling cells.

Biochemical Phenomena↗
PubMed2004

[Muscle-sparing thoracotomy in chest surgery].

OBJECTIVE: To review the clinical experience of muscle-sparing thoracotomy in intrathoracic surgery. METHODS: Thoracotomy was performed in 386 patients from 1998 to 2002, during the procedure lateral-transverse incision, free dissection of muscular flap and entering to the thoracic cavity through certain intercostal space were applied. Two sets of rib retractors were used to ensure the excellent field exposure. RESULTS: Intrathoracic surgery was carried out by this method with the advantage of excellent surgical field exposure, less pain and relative quick recovery. CONCLUSION: Muscle-sparing thoracotomy has the merits of less injury and the same good exposure as routine thoracotomy and it can be carried out in majority of chest surgery.

Adolescent↗