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Kenneth R Boheler

Publications and source records attributed to Kenneth R Boheler.

26 records · Page 2Linked to original sources
PubMed2002

Targets of c-Jun NH(2)-terminal kinase 2-mediated tumor growth regulation revealed by serial analysis of gene expression.

Although the c-Jun NH(2)-terminal kinase (JNK) pathway has been implicated in mediating cell growth and transformation, its downstream effectors remain to be identified. Using JNK2 antisense oligonucleotides (JNK2AS), we uncovered previously a role for JNK2 in regulating cell cycle progression and survival of human PC3 prostate carcinoma cells. Here, to identify genes involved in implementing JNK2-mediated effects, we have analyzed global gene expression changes in JNK2-deprived PC3 cells using Serial Analysis of Gene Expression. More than 40,000 tags each were generated from control and PC3-JNK2AS libraries, corresponding to 15,999 and 20,698 unique transcripts, respectively. Transcripts corresponding to transcription factors, stress-induced genes, and apoptosis-related genes were up-regulated in the PC3-JNK2AS library, revealing a significant stress response after the inhibition of JNK2 expression. Genes involved in DNA repair, mRNA turnover, and drug resistance were found to be down-regulated by inhibition of JNK2 expression, further highlighting the importance of JNK2 signaling in regulating cell homeostasis and tumor cell growth.

Apoptosis↗
PubMed2002

SAGE identification of gene transcripts with profiles unique to pluripotent mouse R1 embryonic stem cells.

The identification of signals that regulate pluripotentiality and self-renewal is fundamental to the understanding of stem cell biology. To quantify the functionally active genome of pluripotent R1 embryonic stem (ES) cells, we used the method of serial analysis of gene expression (SAGE) to sequence a total of 140,313 SAGE tags. Of 44,569 unique transcripts, 9% matched known genes in the nonredundant GenBank database, whereas >35% of the unique tags did not match any known mouse sequence. Comparisons of relatively abundant (> or = 20) tags in the ES cell SAGE catalog with publicly available SAGE data sets identified 16 transcripts with an abundance profile unique to pluripotent R1 ES cells. We confirmed 12 by RT-PCR including those encoding KLF2, a transcription factor; galanin, a hypothalamic neurohormone; BAX, a proapoptotic signaling factor; and CDK4 and PAL31, cell cycle progression associated proteins. The data from this study provide a starting point for detailed transcriptome analyses of stem cells.

Animals↗
PubMed2002

A quantitative and validated SAGE transcriptome reference for adult mouse heart.

Transcriptome comparisons facilitate the identification of developmental, aging, and disease-related genes. To quantify the functionally active genome of adult C57BL/6 mouse heart (AMH), we used serial analysis of gene expression (SAGE) to sequence a total of 88,860 tags or 23,941 unique tags. Over 66% of the unique tags matched either known genes or ESTs. Mitochondrial transcripts accounted for 18.7% of the total transcripts, whereas sarcomeric proteins accounted for 3.2% of all tags. After comparison of AMH expression profiles obtained by SAGE and cDNA arrays, we observed numerous quantitative discrepancies (for example: arrays, mt-Co1 > mt-Co2 > mt-Co3; SAGE, mt-Co1 >> mt-Co3 >or= mt-Co2). We carried out quantitative PCR analyses as an independent test of transcript abundance and determined that SAGE yielded quantitatively reliable data. These SAGE results thus represent the first quantitative expression profile of AMH and serve as a reliable transcriptome reference to identify dynamic changes in cardiac gene expression.

Animals↗
PubMed2002

SAGE identification of differentiation responsive genes in P19 embryonic cells induced to form cardiomyocytes in vitro.

Transcriptome profiling facilitates the identification of developmentally regulated genes. To quantify the functionally active genome of P19 embryonic carcinoma (EC) cells induced to form cardiomyocytes, we employed serial analysis of gene expression (SAGE) to sequence and compare a total of 171,735 SAGE tags from three libraries (undifferentiated P19 EC cells, differentiation days 3 + 0.5 and 3 + 3.0). After in vitro differentiation, only 3.1% of the gene products demonstrated significant (P < 0.05) changes in expression. The most highly significant changes (P < 0.01) involved altered expression of 410 genes encoding predominantly transcription factors, differentiation factors and growth regulators. Quantitative polymerase chain reaction analysis and in situ hybridization revealed five growth regulators (Dlk1, Igfbp5, Hmga2, Podxl and Ptn) and two unknown ESTs with expression profiles similar to known cardiac transcription factors, implicating these growth regulators in cardiac differentiation. These SAGE libraries thus serve as a reference resource for understanding the role of differentiation-dependent genes in embryonic stem cell models induced to form cardiomyocytes in vitro.

Animals↗
PubMed2002

Analysis of altered genomic expression profiles in the senescent and diseased myocardium using cDNA microarrays.

Cardiac function deteriorates with aging or disease. Short term, any changes in heart function may be beneficial, but long term the alterations are often detrimental. At a molecular level, functional adaptations involve quantitative and qualitative changes in gene expression. Analysis of all the RNA transcripts present in a cell's population (transcriptome) offers unprecedented opportunities to map these transitions. Microarrays (chips), capable of evaluating thousands of transcripts in one assay, are ideal for transcriptome analyses. Gene expression profiling provides information about the dynamics of total genome expression in response to environmental changes and may point to candidate genes responsible for the cascade of events that result in disease or are a consequence of aging. The aim of this review is to describe how comparisons of cellular transcriptomes by cDNA array based techniques provide information about the dynamics of total gene expression, and how the results can be applied to the study of cardiovascular disease and aging.

Cardiovascular Diseases↗
PubMedDate not supplied

Embryonic stem cells and cardiomyocyte differentiation: phenotypic and molecular analyses.

Embryonic stem (ES) cell lines, derived from the inner cell mass (ICM) of blastocyst-stage embryos, are pluripotent and have a virtually unlimited capacity for self-renewal and differentiation into all cell types of an embryoproper. Both human and mouse ES cell lines are the subject of intensive investigation for potential applications in developmental biology and medicine. ES cells from both sources differentiate in vitro into cells of ecto-, endoand meso-dermal lineages, and robust cardiomyogenic differentiation is readily observed in spontaneously differentiating ES cells when cultured under appropriate conditions. Molecular, cellular and physiologic analyses demonstrate that ES cell-derived cardiomyocytes are functionally viable and that these cell derivatives exhibit characteristics typical of heart cells in early stages of cardiac development. Because terminal heart failure is characterized by a significant loss of cardiomyocytes, the use of human ES cell-derived progeny represents one possible source for cell transplantation therapies. With these issues in mind, this review will focus on the differentiation of pluripotent embryonic stem cells into cardiomyocytes as a developmental model, and the possible use of ES cell-derived cardiomyocytes as source of donor cells.

Animals↗
PubMedDate not supplied

Somatic stem cell marker prominin-1/CD133 is expressed in embryonic stem cell-derived progenitors.

Prominin-1/CD133 is a plasma membrane marker found in several types of somatic stem cells, including hematopoietic and neural stem cells. To study its role during development and with differentiation, we analyzed its temporal and spatial expression (mRNA and protein) in preimplantation embryos, undifferentiated mouse embryonic stem (ES) cells, and differentiated ES cell progeny. In early embryos, prominin-1 was expressed in trophoblast but not in cells of the inner cell mass; however, prominin-1 transcripts were detected in undifferentiated ES cells. Both ES-derived cells committed to differentiation and early progenitor cells coexpressed prominin-1 with early lineage markers, including the cytoskeletal markers (nestin, cytokeratin 18, desmin), fibulin-1, and valosin-containing protein. After spontaneous differentiation at terminal stages, prominin-1 expression was downregulated and no coexpression with markers characteristic for neuroectodermal, mesodermal, and endodermal cells was found. Upon induction of neuronal differentiation, some prominin-1-positive cells, which coexpressed nestin and showed the typical morphology of neural progenitor cells, persisted until terminal stages of differentiation. However, no coexpression of prominin-1 with markers of differentiated neural cells was detected. In conclusion, we present the somatic stem cell marker prominin-1 as a new parameter to define ES-derived committed and early progenitor cells.

AC133 Antigen↗