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Sean J Yoder

Publications and source records attributed to Sean J Yoder.

4 recordsLinked to original sources

Integrated Genomic and Epigenomic Analysis Reveals Epigenetic Plasticity in Disease Progression and Multidrug Resistance in Multiple Myeloma.

UNLABELLED: Multiple myeloma is marked by recurrent cytogenetic abnormalities and mutations that accumulate as the disease progresses. In this study, we sought to elucidate the transitions driving tumorigenesis and therapy resistance in multiple myeloma using a unique cohort of nearly 900 patients spanning premalignant to late-stage refractory multiple myeloma, comprehensively characterized at molecular and clinical levels. Waves of epigenetic dysregulation drove these critical transitions. In this paradigm, genomic and cytogenetic events unlocked epigenetic plasticity, reshaping multiple myeloma cell biology to evade tumor microenvironment constraints and therapeutic pressures. Functional perturbation studies in an isogenic proteasome inhibitor-resistant cell line model demonstrated enhanced reliance on transcriptional cofactors, supporting a mechanistic link between chromatin plasticity and therapy adaptation. Collectively, these findings support a unifying framework in which genomic heterogeneity unlocks gene regulatory plasticity, enabling plasma cells (PC) to evade microenvironmental constraints and therapeutic pressure. These results provide a mechanistic explanation for sequential relapse without new genomic alterations and nominate epigenetic plasticity-mediated PC adaptation as a therapeutic vulnerability in the heterogeneous genetic background of multiple myeloma. SIGNIFICANCE: Assembly and analysis of a multiple myeloma cohort spanning the continuum from premalignant to late relapse that integrates bulk transcriptomics with single-cell multiomic data provides insights into disease progression and epigenetic plasticity.

Multiple Myeloma↗

Identical probes on different high-density oligonucleotide microarrays can produce different measurements of gene expression.

BACKGROUND: There are many potential sources of variability in a microarray experiment. Variation can arise from many aspects of the collection and processing of samples for gene expression analysis. Oligonucleotide-based arrays are thought to minimize one source of variability as identical oligonucleotides are expected to recognize the same transcripts during hybridization. RESULTS: We demonstrate that although the probes on the U133A GeneChip arrays are identical in sequence to probes designed for the U133 Plus 2.0 arrays the values obtained from an experimental hybridization can be quite different. Nearly half of the probesets in common between the two array types can produce slightly different values from the same sample. Nearly 70% of the individual probes in these probesets produced array specific differences. CONCLUSION: The context of the probe may also contribute some bias to the final measured value of gene expression. At a minimum, this should add an extra level of caution when considering the direct comparison of experiments performed in two microarray formats. More importantly, this suggests that it may not be possible to know which value is the most accurate representation of a biological sample when comparing two formats.

Databases, Nucleic Acid↗

Characterization of a variant of PAC-1 in large granular lymphocyte leukemia.

Phosphatase in activated T cells (PAC-1) is a mitogen-induced early responsive gene. It encodes a 32 kDa tyrosine-threonine dual specificity phosphatase. Constitutive expression of PAC-1 leads to an inhibition of MAP kinase activity in vivo. Such constitutive expression was reported in HTLV-1 infected cell lines. In the present study, we observed the constitutive over-expression of two transcripts related to PAC-1 in large granular lymphocyte (LGL) leukemia. By screening a LGL leukemia cDNA library using the 3' end of a PAC-1 probe, we obtained a clone (clone 8) which retains one and one half introns, excludes two exons, and matches one hundred percent with a DNA sequence on chromosome 2. The deduced amino acid sequence of the predicted protein contains 170 amino acids and is 144 amino acids shorter than PAC-1. When we expressed this protein in Escherichia coli as a GST-fusion protein, a 45 kDa (19 kDa PAC-1 variant+26 kDa GST protein) protein was obtained. The expressed protein was purified to near homogeneity by using a glutathione affinity column. The purified protein did not have any intrinsic phosphatase activity when assayed in vitro. But when this purified protein was added to a phosphatase assay system in combination with a recombinant dual specificity phosphatase, CL100, enhanced phosphatase activity was observed. The significance of the constitutive over-expression and its physiological role of this protein remain to be established in leukemic LGL.

Amino Acid Sequence↗

Microarray results: how accurate are they?

BACKGROUND: DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips, of the cDNA type and oligonucleotide type are available from several sources. The number of publications in this area is increasing exponentially. RESULTS: In this study, microarray data obtained from two different commercially available systems were critically evaluated. Our analysis revealed several inconsistencies in the data obtained from the two different microarrays. Problems encountered included inconsistent sequence fidelity of the spotted microarrays, variability of differential expression, low specificity of cDNA microarray probes, discrepancy in fold-change calculation and lack of probe specificity for different isoforms of a gene. CONCLUSIONS: In view of these pitfalls, data from microarray analysis need to be interpreted cautiously.

Alleles↗