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SugarPy有助于发现驱动的完整糖肽的通用分析

斯蒂芬·舒尔茨; 奥特曼斯,安妮; 基督教徒费赞; 迈克尔·莫曼; 梅希尔德Pohlschröder; 希普勒,迈克尔


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    <subfield code="a">&lt;p&gt;Protein 糖基化 is a complex post-translational modification with crucial cellular functions in all domains of life. Currently, large-scale 糖蛋白组学 approaches rely on glycan database dependent algorithms and are thus unsuitable for discovery-driven analyses of glycoproteomes. Therefore, we devised SugarPy, a glycan database independent Python module, and validated it on the glycoproteome of human breast milk. We further demonstrated its applicability by analyzing glycoproteomes with uncommon glycans stemming from the green algae &lt;em&gt;Chlamydomonas reinhardtii &lt;/em&gt;and the archaeon &lt;em&gt;Haloferax volcanii&lt;/em&gt;. SugarPy also facilitated the novel characterization of glycoproteins from the red alga &lt;em&gt;Cyanidioschyzon merolae&lt;/em&gt;.&lt;/p&gt;

&lt;p&gt;Provided here are, for each species:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;input files (mzML)&lt;/li&gt;
	&lt;li&gt;SugarPy result files&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;In addition, for &lt;em&gt;Homo sapiens&lt;/em&gt; and &lt;em&gt;Chlamydomonas reinhardtii&lt;/em&gt;, the following is included:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;SugarQb result files&lt;/li&gt;
	&lt;li&gt;pGlyco result files&lt;/li&gt;
	&lt;li&gt;MSFragger-Glyco result files&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Furthermore, a SugarPy example_data folder is provided that can be used with the SugarPy example scripts.&lt;/p&gt;

&lt;p&gt;The source code for SugarPy can be found on 的GitHub: //github.com/SugarPy/SugarPy&lt;/p&gt;</subfield>
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