Kevin C. Haudek
Michigan State University
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Featured researches published by Kevin C. Haudek.
Biochimica et Biophysica Acta | 2010
Kevin C. Haudek; Kimberly J. Spronk; Patricia G. Voss; Ronald J. Patterson; John L. Wang; Eric J. Arnoys
This review summarizes selected studies on galectin-3 (Gal3) as an example of the dynamic behavior of a carbohydrate-binding protein in the cytoplasm and nucleus of cells. Within the 15-member galectin family of proteins, Gal3 (M(r) approximately 30,000) is the sole representative of the chimera subclass in which a proline- and glycine-rich NH(2)-terminal domain is fused onto a COOH-terminal carbohydrate recognition domain responsible for binding galactose-containing glycoconjugates. The protein shuttles between the cytoplasm and nucleus on the basis of targeting signals that are recognized by importin(s) for nuclear localization and exportin-1 (CRM1) for nuclear export. Depending on the cell type, specific experimental conditions in vitro, or tissue location, Gal3 has been reported to be exclusively cytoplasmic, predominantly nuclear, or distributed between the two compartments. The nuclear versus cytoplasmic distribution of the protein must reflect, then, some balance between nuclear import and export, as well as mechanisms of cytoplasmic anchorage or binding to a nuclear component. Indeed, a number of ligands have been reported for Gal3 in the cytoplasm and in the nucleus. Most of the ligands appear to bind Gal3, however, through protein-protein interactions rather than through protein-carbohydrate recognition. In the cytoplasm, for example, Gal3 interacts with the apoptosis repressor Bcl-2 and this interaction may be involved in Gal3s anti-apoptotic activity. In the nucleus, Gal3 is a required pre-mRNA splicing factor; the protein is incorporated into spliceosomes via its association with the U1 small nuclear ribonucleoprotein (snRNP) complex. Although the majority of these interactions occur via the carbohydrate recognition domain of Gal3 and saccharide ligands such as lactose can perturb some of these interactions, the significance of the proteins carbohydrate-binding activity, per se, remains a challenge for future investigations.
Glycobiology | 2010
Kevin C. Haudek; Ronald J. Patterson; John L. Wang
Although members of the serine (S)- and arginine (R)-rich splicing factor family (SR proteins) were initially purified on the basis of their splicing activity in the nucleus, there is recent documentation that they exhibit carbohydrate-binding activity at the cell surface. In contrast, galectins were isolated on the basis of their saccharide-binding activity and cell surface localization. Surprisingly, however, two members (galectin-1 and galectin-3) can be found in association with nuclear ribonucleoprotein complexes including the spliceosome and, using a cell-free assay, have been shown to be required splicing factors. Thus, despite the difference in terms of their original points of interest, it now appears that members of the two protein families share four key properties: (a) nuclear and cytoplasmic distribution; (b) pre-mRNA splicing activity; (c) carbohydrate-binding activity; and (d) cell surface localization in specific cells. These findings provoke stimulating questions regarding the relationship between splicing factors in the nucleus and carbohydrate-binding proteins at the cell surface.
CBE- Life Sciences Education | 2012
Kevin C. Haudek; Luanna B. Prevost; Rosa A. Moscarella; John E. Merrill; Mark Urban-Lurain
Students’ writing can provide better insight into their thinking than can multiple-choice questions. However, resource constraints often prevent faculty from using writing assessments in large undergraduate science courses. We investigated the use of computer software to analyze student writing and to uncover student ideas about chemistry in an introductory biology course. Students were asked to predict acid–base behavior of biological functional groups and to explain their answers. Student explanations were rated by two independent raters. Responses were also analyzed using SPSS Text Analysis for Surveys and a custom library of science-related terms and lexical categories relevant to the assessment item. These analyses revealed conceptual connections made by students, student difficulties explaining these topics, and the heterogeneity of student ideas. We validated the lexical analysis by correlating student interviews with the lexical analysis. We used discriminant analysis to create classification functions that identified seven key lexical categories that predict expert scoring (interrater reliability with experts = 0.899). This study suggests that computerized lexical analysis may be useful for automatically categorizing large numbers of student open-ended responses. Lexical analysis provides instructors unique insights into student thinking and a whole-class perspective that are difficult to obtain from multiple-choice questions or reading individual responses.
CBE- Life Sciences Education | 2011
Kevin C. Haudek; Jennifer J. Kaplan; Jennifer K. Knight; Tammy M. Long; John E. Merrill; Alan Munn; Ross H. Nehm; Michelle K. Smith; Mark Urban-Lurain
Concept inventories, consisting of multiple-choice questions designed around common student misconceptions, are designed to reveal student thinking. However, students often have complex, heterogeneous ideas about scientific concepts. Constructed-response assessments, in which students must create their own answer, may better reveal students’ thinking, but are time- and resource-intensive to evaluate. This report describes the initial meeting of a National Science Foundation–funded cross-institutional collaboration of interdisciplinary science, technology, engineering, and mathematics (STEM) education researchers interested in exploring the use of automated text analysis to evaluate constructed-response assessments. Participants at the meeting shared existing work on lexical analysis and concept inventories, participated in technology demonstrations and workshops, and discussed research goals. We are seeking interested collaborators to join our research community.
Biochemistry | 2009
Kevin C. Haudek; Patricia G. Voss; Lauren E. Locascio; John L. Wang; Ronald J. Patterson
Previously, we showed that galectin-1 and galectin-3 are redundant pre-mRNA splicing factors associated with the spliceosome throughout the splicing pathway. Here we present evidence for the association of galectin-3 with snRNPs outside of the spliceosome (i.e., in the absence of pre-mRNA splicing substrate). Immunoprecipitation of HeLa nuclear extract with anti-galectin-3 resulted in the coprecipitation of the five spliceosomal snRNAs, core Sm polypeptides, and the U1-specific protein, U1 70K. When nuclear extract was fractionated on glycerol gradients, some galectin-3 molecules cosedimented with snRNP complexes. This cosedimentation represents bona fide galectin-3--snRNP complexes as (i) immunoprecipitation of gradient fractions with anti-galectin-3 yielded several complexes with varying ratios of snRNAs and associated proteins and (ii) the distribution of galectin-3--snRNP complexes was altered when the glycerol gradient was sedimented in the presence of lactose, a galectin ligand. A complex at approximately 10S showed an association of galectin-3 with U1 snRNP that was sensitive to treatment with ribonuclease A. We tested the ability of this U1 snRNP to recognize an exogenous pre-mRNA substrate. Under conditions that assemble early splicing complexes, we found this isolated galectin-3--U1 snRNP particle was sufficient to load galectin-3 onto a pre-mRNA substrate, but not onto a control RNA lacking splice sites. Pretreatment of the U1 snRNP with micrococcal nuclease abolished the assembly of galectin-3 onto this early complex. These data identify galectin-3 as a polypeptide associated with snRNPs in the absence of splicing substrate and describe a mechanism for the assembly of galectin-3 onto the forming spliceosome.
Methods of Molecular Biology | 2015
Ronald J. Patterson; Kevin C. Haudek; Patricia G. Voss; John L. Wang
Several lines of evidence have been accumulated to indicate that galectin-1 and galectin-3 are two of the many proteins involved in nuclear splicing of pre-mRNA. First, nuclear extracts, capable of carrying out splicing of pre-mRNA in a cell-free assay, contain both of the galectins. Second, depletion of the galectins from nuclear extracts, using either lactose affinity chromatography or immunoadsorption with antibodies, results in concomitant loss of splicing activity. Third, addition of either galectin-1 or galectin-3 to the galectin-depleted extract reconstitutes the splicing activity. Fourth, the addition of saccharides that bind to galectin-1 and galectin-3 with high affinity (e.g., lactose or thiodigalactoside) to nuclear extract results in inhibition of splicing whereas parallel addition of saccharides that do not bind to the galectins (e.g., cellobiose) fail to yield the same effect. Finally, when a splicing reaction is subjected to immunoprecipitation by antibodies directed against galectin-1, radiolabeled RNA species corresponding to the starting pre-mRNA substrate, the mature mRNA product, and intermediates of the splicing reaction are coprecipitated with the galectin. Similar results were also obtained with antibodies against galectin-3. This chapter describes two key assays used in our studies: one reports on the splicing activity by looking at product formation on a denaturing gel; the other reports on the intermediates of spliceosome assembly using non-denaturing or native gels.
CBE- Life Sciences Education | 2015
Michele Weston; Kevin C. Haudek; Luanna B. Prevost; Mark Urban-Lurain; John E. Merrill
One challenge in science education assessment is that students often focus on question surface features rather than the underlying scientific principles. The authors investigated how student responses to photosynthesis constructed-response questions vary based on two surface features of a question and found no significant difference in the content of responses.
Journal of Carbohydrate Chemistry | 2012
Patricia G. Voss; Kevin C. Haudek; Ronald J. Patterson; John L. Wang
The carbohydrate-binding proteins galectin-1 and galectin-3 are found in the nucleus of cells. Using a cell-free assay, depletion and reconstitution experiments have documented that these two proteins are required factors in pre-mRNA splicing. Thiodigalactoside, which binds to both galectins, inhibited the splicing reaction, whereas cellobiose, which binds neither protein, failed to yield the same effect. Although L-rhamnose does not bind to either galectin-1 or galectin-3, it does inhibit the cell-free splicing assay. The effect of rhamnose is best explained by its strong binding to Sfrs1, one member of another family of nuclear splicing factors (the SR proteins) that exhibit carbohydrate-binding activity.
Nucleic Acids Research | 2016
Kevin C. Haudek; Patricia G. Voss; John L. Wang; Ronald J. Patterson
In previous studies, we reported that fractionation of HeLa cell nuclear extracts on glycerol gradients revealed an endogenous ∼10S particle that contained galectin-3 and U1 snRNP and this particle was sufficient to load the galectin polypeptide onto a pre-mRNA substrate. We now document that this interaction between the galectin-3–U1 snRNP particle and the pre-mRNA results in a productive spliceosomal complex, leading to intermediates and products of the splicing reaction. Nuclear extracts were depleted of U1 snRNP with a concomitant loss of splicing activity. Splicing activity in the U1-depleted extract can be reconstituted by the galectin-3–U1 snRNP particle, isolated by immunoprecipitation of the 10S region (fractions 3–5) of the glycerol gradient with anti-galectin-3 antibodies. In contrast, parallel anti-galectin-3 immunoprecipitation of free galectin-3 molecules not in a complex with U1 snRNP (fraction 1 of the same gradient), failed to restore splicing activity. These results indicate that the galectin-3–U1 snRNP-pre-mRNA ternary complex is a functional E complex and that U1 snRNP is required to assemble galectin-3 onto an active spliceosome.
Archive | 2008
John L. Wang; Kevin C. Haudek; Patricia G. Voss; Ronald J. Patterson