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	<title>Chuan-Yih, Yu &#187; Glyco</title>
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		<title>Estimating the size of the bacterial pan-genome</title>
		<link>http://www.paulyu.org/bioinfo/metagenomics/estimating-the-size-of-the-bacterial-pan-genome/</link>
		<comments>http://www.paulyu.org/bioinfo/metagenomics/estimating-the-size-of-the-bacterial-pan-genome/#comments</comments>
		<pubDate>Tue, 09 Feb 2010 16:38:16 +0000</pubDate>
		<dc:creator>paulyu</dc:creator>
				<category><![CDATA[Metagenomics]]></category>
		<category><![CDATA[Glyco]]></category>
		<category><![CDATA[pan-genome]]></category>

		<guid isPermaLink="false">http://www.paulyu.org/?p=376</guid>
		<description><![CDATA[<p style="text-align: left;">Estimating the size of the bacterial pan-genome</p>
<p style="text-align: left;">Pascal Lapierre and J. Peter Gogarten, Trends in Genetics</p>
<p style="text-align: left;">
</p>
<p>Evolution of Symbiotic Bacteria in the Distal Human Intestine</p>
<p> Jian Xu, et al., PLOS Biology</p>
<p style="text-align: left;">Estimating the size of the bacterial pan-genome</p>
<p style="text-align: left;">Evolution of Symbiotic Bacteria in the Distal Human Intestine.</p>
<p style="text-align: left;">Estimating the [...]]]></description>
			<content:encoded><![CDATA[<p style="text-align: left;"><span style="font-size: medium;">Estimating the size of the bacterial pan-genome</span></p>
<p style="text-align: left;"><span style="font-size: x-small;">Pascal Lapierre and J. Peter Gogarten, </span><em><span style="font-size: x-small;">Trends in Genetics</span></em></p>
<p style="text-align: left;"><em><span style="font-size: x-small;"><br />
</span></em></p>
<p><span style="font-size: medium;">Evolution of Symbiotic Bacteria in the Distal Human Intestine</span></p>
<p><span style="font-size: x-small;"> Jian Xu, </span><em><span style="font-size: x-small;">et al., PLOS Biology</span></em></p>
<p style="text-align: left;"><em><span style="font-size: x-small;"><a href="http://www.paulyu.org/wp-content/uploads/2010/02/Estimating-the-size-of-the-bacterial-pan-genome.pdf" target="_blank">Estimating the size of the bacterial pan-genome</a></span></em></p>
<p style="text-align: left;"><em><span style="font-size: x-small;"><a href="http://www.paulyu.org/wp-content/uploads/2010/02/Evolution-of-Symbiotic-Bacteria-in-the-Distal-Human-Intestine..pdf" target="_blank">Evolution of Symbiotic Bacteria in the Distal Human Intestine.</a></span></em></p>
<p style="text-align: left;"><span id="more-376"></span>Estimating the size of the bacterial pan-genome</p>
<p style="text-align: left;">Pan-genome includes two groups of gene: the core genome and dispensable genome. The core genome contains genes present in all strains, and the dispensable genome contains genes present in two or more strains. This paper use pan-genome concept and try to predict the size of bacterial pan-genome using 293 sequenced genomes. They extend pan-genome categories from two categories to three categories: extended core, character genes and accessory genes. The extend category is highly conserved because it is the result of highly selective pressure. They present around 8% in the 99% of sample genomes. The character genes category is the largest part of bacterial genome, and around 64% genes in the pan-genome are in this category. These genes are the essential genes for colonization and survival, but there are only 7900 protein family was found in this category which is a small number. Although it only has small number of protein family, these genes have flexibility to form a new function. This characteristic made these diverse genes become substrate specificity. The final category, accessory genes, presents around 28% of the bacterial pan-genome. This category contains more than 139,000 gene families in 293 genomes. There are lots of genes are ORFans and most of their functions are remain unknown. This uncertain function genes might be converge to other categories if we can do some process to make it become to proteins. The authors conclude different of view for each category. The extend core gene mainly transfer vertically from the ancestor to offspring, and only allow a slice change on the sequence level. The character genes are transferred between organisms. The accessory genes might be the genes which have function in the past. Those genes become pseudogenes. They also conclude that protein evolution not only can derive from exist protein selection or rearrangements but also has new protein involve in the evolution.</p>
<p style="text-align: left;">
<p style="text-align: left;">It is so surprised that the differences of gene between different strains and also scientist claim there are infinite genomes<sup>1</sup>. Every time you sequence a genome you will found another set of genes according their prediction 33 new genes will be added after add another genome. I think the idea form author is quite brilliant, divide into three different categories: core, character, accessory. We can use only character to differentiate different strains.</p>
<p style="text-align: left;">
<ol style="text-align: left;">
<li style="text-align: left;">Hervé Tettelin, et al., Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: Implications for the microbial “pan-genome”, <em>PNAS 2005</em></li>
</ol>
<p><em>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;</em></p>
<p>Evolution of Symbiotic Bacteria in the Distal Human Intestine</p>
<p>The human gut has tons of microbes, and the authors want to know how the evolution processes happen. Does this evolution affect by host or by other microorganisms? They use two commonly bacteria inside the human gut, <em>Bacteroides vulgates </em>and <em>Bacteroides distasonis</em> which have highly divergent 16S rRNA. They compare these two bacteria with other two gut Bacteroidetes, <em>Bacteroides thetaiotaomicron </em>and <em>Bacteroides fragilis</em>, and two non-gut Bacteroidetes, <em>Porphyromonas gingivalis</em> which found in human oral and <em>Cytophaga hutchinsonii </em>which found in soil. They first assemble two gut genomes to get complete genome, total coverage are 12.6X and 13.2X respectively. The gene is predicted by the BLASTN and tRNASCAN then use GLIMMER, ORPHEUS, CRITICA and WUBLAST to predict the protein coding region. After prediction, they use ClustalW to align the sequence and NAST to construct phylogenetic tree. They mainly focus on LGT, laterally transferred genes; these genes are laterally acquired after speciation which might involve the difference of niche. They can identify two types of genes by their method. One is the LTG genes, and the other is genes which are lost in others species except one. They choose LTG as their target set although this LGT may cause by other species gene lost; they make an assumption this also could be an indicator of species-specific selection. They found an average of 5.5% of the genes belong LTG which are transfer from outside the gut Bacteroidetes in each genomes. They also found in CPS loci, Capsular Polysaccharide Biosynthesis, have enriched glycosyltransferases and genes for LTG. This phenomenon is not present in non-gut Bacteroidetes <em>P. gingivalis. </em>The CPS loci are most polymorphic sites in the gut Bacteroidetes. Moreover the conjugative transposons (CTns) are found to be related to duplication of CPS loci within a genome. Each copy contains a CTn followed by a complete CPS locus. After that they provide a case study of SusC/SusD paralogs to verify their assumptions. The different host will result in a homogenized microbiome and intermicrobial dynamic result in completely differentiated genomes; these are both happen in the human gut. The LTG play an important role for gut Bacteroidetes to adapted within human gut, but the how and when the LTG affect the Bacteroidetes still unclear.</p>
<ol style="text-align: left;"></ol>
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		<title>Glycan microarray of Globo H and related structures for quantitative analysis of breast cancer</title>
		<link>http://www.paulyu.org/bioinfo/glyco/glycan-microarray-of-globo-h-and-related-structures-for-quantitative-analysis-of-breast-cancer/</link>
		<comments>http://www.paulyu.org/bioinfo/glyco/glycan-microarray-of-globo-h-and-related-structures-for-quantitative-analysis-of-breast-cancer/#comments</comments>
		<pubDate>Tue, 01 Dec 2009 14:45:08 +0000</pubDate>
		<dc:creator>paulyu</dc:creator>
				<category><![CDATA[Glyco]]></category>
		<category><![CDATA[Bioinformatics]]></category>
		<category><![CDATA[Paper]]></category>

		<guid isPermaLink="false">http://www.paulyu.org/?p=62</guid>
		<description><![CDATA[<p>This paper talks about how to use Globo H antigen as a breast cancer biomarker. Globo H which is a hexasaccharide and belongs to antigenic carbohydrates is highly expressed on some cancers cell surface. Breast cancer patients have highly expression antibodies against the Globo H epitope. They used Mbr1 and VK9 antibodies which can specific recognize [...]]]></description>
			<content:encoded><![CDATA[<p>This paper talks about how to use Globo H antigen as a breast cancer biomarker. Globo H which is a hexasaccharide and belongs to antigenic carbohydrates is highly expressed on some cancers cell surface. Breast cancer patients have highly expression antibodies against the Globo H epitope. They used Mbr1 and VK9 antibodies which can specific recognize Globo H epitope. Use these two findings they can specific differentiate health and cancer sample. They use glycan microarray to assay the finding.</p>
<p><span id="more-62"></span></p>
<p>Firstly, they test the specificities of antibodies. They use two different class of antibodies IgG and IgM( Mbr1 and VK9), and one stage-specific antibody (anti SSEA-3) which is the pentasaccharide precursor of Globo H<sup>1</sup>. The results show Mbr1 and VK9 can bind to those antigens (GH, Bb4) with fucose, and anti SSEA-3 only bind with Gb5; therefore the binding is very specific. The antibodies might bind in multivalent manner, so they need to determinate dissociation constants. They use different concentration of antibodies to build the binding curve. The binding specificity of Mbr1 and VK9 for sugar epitopes is Globo H &gt; Bb4. The binding affinity of antibodies for Globo H is Mbr1 &gt; VK9, but for Bb4 is opposite order. Secondly, they use Cy3-labeled secondary antibodies to quantify the reaction. The VK9 and Mbr1 antibodies bind with GH and Bb4 were relative high intensity, others GH analogs were weak. According the result, the level of IgG and IgM against Globo H were significantly higher in breast cancer than normal. Finally, they compare the glycan microarray with traditional method, ELISA. They found glycan microarray is more sensitive than ELISA. Based on above evidences, they claim glycan microarray can be a sensitive rapid device for breast cancer</p>
<p>I read another paper which also published by the same group. It mentions about the only 61% of breast cancer cell express Globo H and 20% of breast cancer stem cell express Globo H; but there are 77.5% of breast cancer cell express SSEA-3 and 62.5% of breast cancer stem cell express SSEA-3<sup>1</sup>. I think kill the cancer stem cell is more important than mature cancer cell. The cancer cell will replicate as long as the stem cell were present in the host cell. If we can kill the stem cell, it will stop produce new cancer cell. Our Immune system will kill the rest cancer cell.</p>
<p>1.Chang WW, et al. (2008) Expression of Globo H and SSEA3 in breast cancer stem cells and the involvement of fucosyl transferase 1 &amp; 2 in Globo H synthesis. Proc Natl Acad Sci USA 105:11667–11672</p>
<p><a href="http://www.paulyu.org/wp-content/uploads/2009/12/Glycan-microarray-of-Globo-H-and-related-structures-for-quantitative-analysis-of-breast-cancer.pdf">Glycan microarray of Globo H and related structures for quantitative analysis of breast cancer</a></p>
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		<item>
		<title>Complexities and algorithms for glycan structure sequencing using tandem mass spectrometry</title>
		<link>http://www.paulyu.org/uncategorized/complexities-and-algorithms-for-glycan-structure-sequencing-using-tandem-mass-spectrometry/</link>
		<comments>http://www.paulyu.org/uncategorized/complexities-and-algorithms-for-glycan-structure-sequencing-using-tandem-mass-spectrometry/#comments</comments>
		<pubDate>Tue, 24 Nov 2009 19:45:29 +0000</pubDate>
		<dc:creator>paulyu</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Bioinformatics]]></category>
		<category><![CDATA[Glyco]]></category>
		<category><![CDATA[MassSpectrometry]]></category>
		<category><![CDATA[Paper]]></category>

		<guid isPermaLink="false">http://www.paulyu.org/paper/complexities-and-algorithms-for-glycan-structure-sequencing-using-tandem-mass-spectrometry/</guid>
		<description><![CDATA[<p>Complexities and algorithms for glycan structure sequencing using tandem mass spectrometry</p>
<p>Determination of Glycan Structure from Tandem Mass Spectra</p>
<p>Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.paulyu.org/wp-content/uploads/2009/11/Complexities-and-algorithms-for-glycan-structure-sequencing-using-tandem-mass-spectrometry.pdf">Complexities and algorithms for glycan structure sequencing using tandem mass spectrometry</a></p>
<p><a href="http://www.paulyu.org/wp-content/uploads/2009/11/Determination-of-Glycan-Structure-from-Tandem-Mass-Spectra.pdf">Determination of Glycan Structure from Tandem Mass Spectra</a></p>
<p><a href="http://www.paulyu.org/wp-content/uploads/2009/11/Identification-and-quantification-of-N-linked-glycoproteins-using-hydrazide-chemistry-stable-isotope-labeling-and-mass-spectrometry.pdf">Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry</a></p>
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		</item>
		<item>
		<title>Determination of Glycan structure use MS/MS</title>
		<link>http://www.paulyu.org/bioinfo/capstone/determination-of-glycan-structure-use-msms/</link>
		<comments>http://www.paulyu.org/bioinfo/capstone/determination-of-glycan-structure-use-msms/#comments</comments>
		<pubDate>Thu, 19 Nov 2009 22:31:33 +0000</pubDate>
		<dc:creator>paulyu</dc:creator>
				<category><![CDATA[Capstone]]></category>
		<category><![CDATA[Glyco]]></category>
		<category><![CDATA[MassSpectrometry]]></category>

		<guid isPermaLink="false">http://www.paulyu.org/capstone/determination-of-glycan-structure-use-msms/</guid>
		<description><![CDATA[<p>Presentation in Nov 19</p>
<p>Determination of Glycan structure use MS</p>
<p></p>
<p>After presentation, Prof. Memo give me some advise. I will modify and upload it.</p>

Slides modify

<p>Title: Determination of N-Glycan structure use MS/MS</p>
<p>isomeric molecules isoform</p>
<p>De novo De novo</p>
<p>biology biological</p>

Problem

<p>Why my problem is NP-Hard?</p>
<p>Because the glycan structures is diverse, the number of candidate glycan structures is huge.</p>

Comment

The 10/20/30 Rule of PowerPoint [...]]]></description>
			<content:encoded><![CDATA[<p>Presentation in Nov 19</p>
<p><a href="http://www.paulyu.org/wp-content/uploads/2009/11/Determination-of-Glycan-structure-use-MS.pptx">Determination of Glycan structure use MS</a></p>
<p><span id="more-14"></span></p>
<p>After presentation, Prof. Memo give me some advise. I will modify and upload it.</p>
<ul>
<li>Slides modify</li>
</ul>
<p>Title: Determination of <strong><span style="color: #ff0000;">N-</span></strong>Glycan structure use MS/MS</p>
<p><span style="text-decoration: line-through;">isomeric molecules</span> isoform</p>
<p><span style="text-decoration: line-through;">De novo</span> <em>De novo</em></p>
<p><span style="text-decoration: line-through;">biology</span> biological</p>
<ul>
<li>Problem</li>
</ul>
<p>Why my problem is NP-Hard?</p>
<p>Because the glycan structures is diverse, the number of candidate glycan structures is huge.</p>
<ul>
<li>Comment</li>
</ul>
<h3><a href="http://blog.guykawasaki.com/2005/12/the_102030_rule.html#axzz0XQVZMGG9" target="_blank">The 10/20/30 Rule of PowerPoint</a> by Guy Kawasaki</h3>
<p>NP-Hard(<strong>N</strong>on-deterministic <strong>P</strong>olynomial-time <strong>H</strong>ard)<strong>=</strong>非確定性多項式</p>
<p>Reorganization</p>
<ol>
<li>Why glycan is important?</li>
<li>The differences between N-glycan and O-glycan</li>
<li>Explain the problem more specific.  (Search space is some large, accuracy is not good.)</li>
<li>Explain the MS, CID, and HCD.</li>
<li>Previous work</li>
<li>How to improve ?</li>
<li>How to measure the success?</li>
</ol>
<p><strong><br />
</strong></p>
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