Catálogo de publicaciones - libros

Compartir en
redes sociales


Control of Dead-time Processes

J. E. Normey-Rico E. F. Camacho

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

No disponibles.

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-1-84628-828-9

ISBN electrónico

978-1-84628-829-6

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag London Limited 2007

Tabla de contenidos

Introduction

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 1-8

Dead-time Processes

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 9-53

Identification of Dead-time Processes

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 55-84

PID Control of Dead-time Processes

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 85-130

The Smith Predictor

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 131-163

Dead-time Compensators for Stable Plants

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 165-189

Dead-time Compensators for Unstable Plants

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 191-228

Discrete Dead-time Compensators

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 229-269

Model Predictive Control of Dead-time Processes

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 271-308

Robust Predictive Control of Dead-time Processes

J. E. Normey-Rico; E. F. Camacho

Past studies profiling gene expression in MSCs have typically revealed a preponderance of expressed transcripts encoding structural proteins common in skeletal tissue and secreted factors that regulate hematopoiesis. Our SAGE analysis of the MSC transcriptome corroborated many of these previous findings, but also revealed that the cells express a plethora of transcripts encoding proteins involved in cell communication, motility, neural activity, angiogenesis and other biological processes that characterize marrow stroma. Therefore, the heterogeneity of the MSC transcriptome appears to reflect the nature and function of the different cell types that comprise this organ, the complexity of which is under appreciated. Our studies also indicate that the transcriptome of a clonal MSC population is characterized by a high percentage of expressed transcripts encoding proteins of an indeterminate nature. These findings reflect a basic lack of knowledge regarding the biology of MSCs, which attributes to the difficulty in ascribing a molecular phenotype to these stem cells. Comparative genomics studies indicate that transcripts uniquely expressed in MSCs include transcription factors and signalling molecules involved in limb bud morphogenesis, thereby providing clues to the regulatory mechanisms governing self-renewal and lineage commitment of MSCs. Deciphering these molecular pathways will further our understanding of the nature and biology of this unique stem cell population.

Pp. 309-341