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(The FASEB Journal. 1999;13:S167-S174.)
© 1999 FASEB

Age-dependent atrophy and microgravity travel: what do they have in common?

EUGENIA WANG1

The Bloomfield Center For Research in Aging, Lady Davis Institute for Medical Research, Sir Mortimer B. Davis Jewish General Hospital; and Department of Medicine, McGill University, Montréal, Québec, Canada

1Correspondence: Lady Davis Institute for Medical Research, 3755, chemin de la Côte Ste. Catherine Street, Montréal, Québec, Canada H3T 1E2. E-mail: cznu{at}musica.mcgill.ca


   ABSTRACT
TOP
ABSTRACT
INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
REFERENCES
 
Space travel and extending human lifespan are two of the many advances of the twentieth century. However, both of these scientific wonders exact a price for their gains; i.e. deleterious effects on normal physiological processes. For example, both old age and prolonged microgravity travel are associated with atrophy in heart, muscle, and bone. The underlying signal transduction pathways, the control mechanisms for the processes of proliferation, differentiation, and apoptosis, may prove to be similarly altered in both old age and microgravity travel. We suggest that the mechanical events involved in space travel provide a telescopic compression of lifespan changes in these tissues; if so, space travel provides an excellent opportunity to investigate how long-term degeneration occurs on Earth. With the aid of biochip technology for multi-factorial analysis, a platform can be generated to create therapeutic modalities to contain, retard, reduce, or prevent this tissue atrophy, either in space or on Earth.—Wang, E. Age-dependent atrophy and microgravity travel: what do they have in common?


Key Words: replicative senescence • high-throughput technology • nonlinear dynamics • microchips


   INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
REFERENCES
 
LIVING INTO THE EIGHTH DECADE of human lifespan and venturing into the forbidden territory of space must be two of the twentieth century's biggest advances to a nineteenth century man. The dream of extending the human lifespan is being realized: the average human lifespan has gained at least two decades in the last 50 years and this trend will continue until ages in the eighties are considered average. Concerning prolonged healthy living, we ask, By what means can our society avoid having people spend their remaining lifespan combating old-age diseases such as cardiovascular dysfunction, neurological debility, bone and muscle atrophy, and cancer? Could microgravity travel contribute to ourunderstanding of these life-long earth-bound changes, and thus provide scientific means to minimize the severity of the burden of old age?


   REVIEW OF RECENT MOLECULAR FINDINGS ON THE CELLULAR AGING PROCESS
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ABSTRACT
INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
REFERENCES
 
The dawn of the twenty-first century nostalgically tempts us to review what we have gained in the past 100 years. Medically, two major achievements are the extension of human lifespan and the ability to address genetically associated diseases. Even as late as the early 1900's, lifespan determination and time of death were thought of as predestinated by the mysteries of nature, capable of being addressed only by the immortals. Longevity, prolonged lifespan, and freedom from disease in old age were simply thought of as gifts from Mother Nature as a reward for good deeds. Genetic diseases were then commonly thought of as a curse to the family or clan. Ludicrous as this may seem to us now, this was the prevailing consciousness dominating not only the common man but also more or less the scientific community. The notion of healthy elderly, especially healthy 70 year olds or older, was an oxymoron in the late 1800's.

Pro- and anti-longevity genes hypothesis
What have we gained since the dawn of this century, then? We have eradicated most of the large epidemics (with the exception of AIDS, malaria, and tuberculosis), significantly reduced infant mortality, improved nutrition and health care, and gained 20 years of average human lifespan. In most developed countries, the average lifespan has increased from approximately 55 to 77 years of age. This tremendous gain in longevity tempts us, perhaps unconsciously, to ask the daring question: can one survive to the maximal human lifespan, and can one do so disease-free? The life of 120-year-old Madame J. Calment of Arles, France attests that the answer to this question is a resounding "yes." However, can everyone experience what she did? Logically, we turn to scientific advances for the answer, as we have previously done for eradication of infectious diseases. We now ask, are there such things as longevity assurance genes? Are they responsible for the gain of lifespan seen in centenarians? If so, what are they, and what are the counteracting genes for not living as long? Do these anti-longevity genes determine the incidence of cancer and cardiovascular and neuronal degeneration in old age? The search for pro- and anti-longevity genes, and characterizing them, may then be the penultimate goal for every student of the human genome mystery.

Recent scientific insights into replicative senescence
Scientists have evolved the strategy of attacking complex problems by reducing them to a more simply analyzed model. How can a reductionist telescope the quest for the identification and functional characterization of human longevity and the genes determining it? The answer is the use of animal model and culture systems. The flourishing and exciting developments in scientific findings from the use of yeast, worms, fruit flies, and aged rodents and primates, as well as the human fibroblast culture model (1) , are a testimony to the success of this approach. From studies on senescent human fibroblasts, milestone findings have contributed not only to the general understanding of replicative senescence (the fact that many types of cells survive long after they lose the capacity to reproduce), but also to other areas in terms of regulation of cell-cycle traverse, apoptosis, neoplastic transformation, and terminal differentiation. I list here just a few of these findings: 1) replicative senescence is a genetically dominant trait (2) , and may be in essence a tumor-suppressing mechanism (3) ; 2) the dominance resides in human chromosomes 1, 4, and/or 6 (4-6) ; 3) telomere shortening is a clocking mechanism for cellular age, the number of serial passages needed to reach replicative senescence (7 , 8 ); 4) the expression of a gene called c-fos is repressed and a protein named RB is not phosphorylated in senescent cells (9-11) ; 5) p21 (or Sdi1) is a candidate gene halting senescent cells from replicating (12) [p16 was recently identified as important in regulating replicative senescence (13-18) ]; and 6) senescent human fibroblasts do not readily die but are resistant to apoptosis (the internally programmed natural process of cellular death) (19) .

Polygenic regulation of the aging process and signal transduction
Emerging from these breakthroughs is the realization that the determination of both the normal aging process, and aberrancies from it, may be by complex genetic traits with polygenic regulation. As one considers signal transduction pathways, the molecular control mechanisms of most cellular phenomena, one is impressed by the interlocking networking of all the genes involved in the success of implementing a mitogenic stimulus leading to cell division. So far, there are four different known pathways of signaling events: the PI3 kinase, RAS/MAP kinase, NF-{kappa}B, and JNK-STAT pathways (20 , 21 ). Each has its respective signals to initiate its cascade of events, with their respective series of cytoplasmic and nuclear targets. Of course, there are cross-bridges among these four pathways, MAP kinase being the most famous one (22-28) . Moreover, future findings may reveal that the boundaries between these four pathways are not clear-cut. A humbling lesson for us is the realization that our candidate gene of interest may be one of the many genes whose levels of expression orchestrate the establishment of signaling orders for intra- as well as intercellular tasks.

Stochastic versus programmed theories of regulating the aging process
In the 70's, biogerontologists loved to debate whether the aging process was controlled by random stochastic events or by programmed regulation. Lifespan determination was thought to be due to either the building up of a cascade of errors or the programmed onset of expression of a group of master genes whose functions are genetically implemented and regulated as a time clock. Evolutionary selection for longevity was then viewed as favoring individuals that are fittest, with the best genes, overcoming the stochastic errors or the clock. Arguments as to the relative truth of these two theories, stochastic versus programmed, plague many scientific gatherings of gerontologists, although it now seems that neither camp embodies the answers to all aspects of regulation of human and animal longevity. As we discussed above for signal transduction pathways, the hundreds of genes involved in the four known pathways may be exquisitely ordered, but when a stimulus is implemented it may follow a program of bifurcation until it reaches a state of chaos; order only becomes obvious when the final decision of gene action is reached (29) . An analogy to this pattern of events is the artificial intelligence embodied in the communication network via the Internet system. Bird's-eye views of both the signal transduction pathways and the e-mail Internet network might be quite similar, with both stochastic appearance and programmed operation.

Cell cycle traverse and regulation of quiescence
We've known for some time that in general, dividing cells follow a recognized pattern called the cell cycle: after the G0 quiescent phase comes G1, then DNA synthesis in the S phase, followed by G2 and ultimately M (for mitosis, or cell division). An explosion of literature in the last few years forces us to appreciate that this traverse of the cell cycle does not operate as a simple phenomenon, like a train traveling on a well-defined track. New substages and functions within each phase are recognized by the identification of new groups of genes. We will focus our discussion only on the molecular happenings during the G1 phase. In the last two decades, several classes of genes have been identified as functionally necessary for this phase: 1) genes involved in DNA replication, such as DNA polymerases, ribonuclear reductases, thymidine kinases, histones, topoisomerases, helicases, etc. (30 , 31 ); 2) immediate early genes such as c-fos, c-myc, c-jun, Ras, E2F, etc. (32 , 33 ); 3) the need for RB phosphorylation led to the discovery of the classes of cyclins (cyclin A, B, D, E, G, and H) and cyclin-dependent kinases such as cdc2, cdk2, cdk4, cdk6, cdk11, etc. (33-37) . By no means is this list exhaustive, nor is the functional identification of each member with G1-phase traverse definitive. Adding to this complexity is the other confounding class of gene expression, i.e. the growth factors such as families of insulin-like growth factor, epidermal growth factor, platelet-derived growth factor, transforming growth factor, tumor necrosis factor, nuclear factor-{kappa}B, and their respective targets and associated kinases and phosphatases. Understanding the transcriptional, translational, and posttranslational regulation of all these genes' expressions and how they functionally regulate the success of G1-phase is the formidable challenge set before us as cell biologists seeking to unravel the mysteries of cell cycle traverse.

Regulation of quiescence, replicative senescence, and terminal differentiation
A popular model to explain the regulation of cell proliferation is the yin-yang paradigm; here, a common hypothesis referring to growth-arrest regulation is thought of as a gain of nonproliferation-specific gene expressions and the loss of proliferation-specific gene expressions. If one accepts this gain vs. loss logic, what then regulates the difference in potential to reawaken to divide between quiescent and senescent human fibroblasts, or characterizes permanently post-replicative terminally differentiated neurons? Would the differences be dictated more by gains or by losses? Key to these questions may be the identification of the gains; the discovery of cyclin-dependent kinase inhibitors p21, p27, p16, p18, and p57, and their respective functions may open a new way to investigate the different regulatory modes for quiescence vs. terminal differentiation, and for quiescence vs. senescence. The recent finding that p27 is specific to terminally differentiated (but not quiescent) muscle (38) , and p16 to senescent fibroblasts (13-15) , while both cell lines and stages are p21-positive, may provide us a handle to study the molecular operation of temporary vs. permanent growth-arrest states.

Replicative senescence, telomere shortening, immortality, and oncogenesis
Similar to the above gain vs. loss argument, what then determines the difference between young replicating fibroblasts and their rapidly growing transformed counterparts? Do quantitative and qualitative gene losses eventually produce a cascade driving fibroblasts to metaplasia? The fact that we can generate a failure to induce DNA synthesis in senescent human fibroblasts simply by introducing c-fos or antisense p21 (3) clearly reveals to us that for a cell to leave replicative senescence may require several stages of intervention, defined here as sequential steps toward neoplastic transformation: 1) escape from replicative senescence, and become immortal; 2) gain replicative ability at a rate beyond that of young fibroblasts; 3) gain replicative ability to grow in low serum concentration conditions; 4) outgrow anchorage-dependence; and 5) acquire the invasive mode to become malignant. Obviously the first stage, i.e. the escape from senescence, is the key that has received intense attention, including restoring telomere length via telomerase as an added dimension in the effort to re-stimulate DNA synthesis in permanently growth-arrested human senescent fibroblasts.

Balancing molecular operations at the G1/S border and organismic longevity
Investigations by our lab and others have suggested that there are three options for a cell when it reaches the G1/S border: it can enter the S-phase for DNA replication; it can be triaged to the death route, to commit apoptotic suicide; or it can do neither, and remain dormant (3 , 38-64 ). Obviously, senescent human fibroblasts have chosen the latter option. What then determines the molecular decision among these three choices? The answer may lie in the controlled regulation of families of genes involved in signal transduction, cell cycle traverse, killer and survival gene expressions, etc. What is even more obvious is that preventing a cell from entering the G1 phase in the first place constitutes a cellular strategy avoiding both cell replication and apoptotic death, a necessary mode for most of the functioning, growth-arrested cells in our body.


   APOPTOSIS, AGE-DEPENDENT MUSCLE ATROPHY, AND MICROGRAVITY TRAVEL
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ABSTRACT
INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
REFERENCES
 
Aging is associated with a significant decrease in muscle mass, considered as age-dependent muscle degeneration. The growth of human muscle peaks at about the age of 30–35, followed by decline; the ultimate muscle mass in the elderly depends on the height of the peak around age 35 and the slope of decline. A higher peak and gradual sloping contribute to increased muscle mass in advanced age. Decreased muscle mass is not only the main reason for diminished muscle strength, but may also provide a hostile environment for muscle repair and regeneration. Results of grafting experiments have shown that old muscle fibrils grafted into a young muscle environment survive, whereas grafting in the opposite direction leads the young muscle to die, supporting the hypothesis that the old muscle environment is unfavorable to muscular homeostasis (65 , 66 ). In humans, a significant fraction of muscle fibers are denervated in the elderly (67 , 68 ) and our results have shown that intact innervation may be the key to maintaining regulated translational control for protein synthesis. This loss of innervation, along with other changes, including decreased myofiber size, reduced metabolic energy and blood circulation, repressed response to injury and regenerative ability, and alterations in overall tissue composition such as isoform types and the extracellular matrix milieu, may be involved in producing the muscle wasting observed in the elderly.

We have recently identified a novel translational elongation factor, S1, a sister gene to the well-known EF-1{alpha} (69-72) . In muscle, EF-1{alpha} is the embryonic form and S1 is the adult form of the elongation factor required for all protein synthesis. The ratio of EF-1{alpha}/S1 is extremely low in healthy adult muscle. During injury with intact innervation, the EF-1{alpha}/S1 ratio shifts to high but returns to low when muscle repair is completed; however, in conditions of injury with denervation, the EF-1{alpha}/S1 ratio does not return to the low level. Furthermore, this high EF-1{alpha} level tends to drive the cell toward apoptosis, or programmed cell death. In extremely old rats, the EF-1{alpha}/S1 ratio reverts to the embryonic high ratio. These results lead us to suggest that significantly high levels of denervation in old muscles may contribute to the high EF-1{alpha} level, producing a tissue environment unfavorable for newly regenerated muscle to survive. We hypothesize that the dying myotubes may eventually create a hostile microenvironment, causing neighboring cells to die as well. We further hypothesize that the presence of these apoptotic foci causes the death of not only existing myotubes, but also regenerated muscle fibers, thus rendering the old or long-term-denervated muscle tissues hostile to regeneration. Investigation of age-dependent muscle atrophy may open the way to study microgravity-associated muscle debility. Because our work on age-dependent muscle atrophy suggests that neuronal survival is essential to healthy muscle status, we here suggest that prolonged microgravity travel may compromise neuronal survivability and thus cause muscle atrophy, producing degeneration in muscle in the short period of a few months. A possible parallel phenotypic presentation of muscle debility between the elderly and those who undergo prolonged microgravity travel may derive from the same molecular mechanisms, i.e. the loss of denervation leading to neuronal cell death, and subsequent loss of muscle fibers through apoptotic death and failure to regenerate. Future research on inhibitors to apoptosis and protection of neurons from the same suicidal program should open therapeutic means not only to prevent or retard age-dependent muscle loss but also to protect astronauts from losing muscle mass after prolonged microgravity travel.


   DOES RESEARCH IN SPACE LEAD TO A BETTER UNDERSTANDING OF AGING?
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ABSTRACT
INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
REFERENCES
 
One of the most difficult tasks in studying the aging process is the limitation of time. Most, if not all, aging changes are based on continuous cellular or tissue events that occur over long time periods, i.e. from birth to death. Classically, in an organism, the aging process is defined as beginning at the start of the post-replicative period. For some animals such as Pacific Salmon, the reproductive lifespan and the maximal lifespan are the same. For mammals, maximal lifespan includes a significantly prolonged period of post-reproductive life. This extended post-reproductive lifespan is suggested as a means to insure that the skills of nurturing the young are passed on from generation to generation. However, with the advent of improved medicine, nutrition, and public health, human lifespan is increasing beyond the needs of post-reproductive lifespan to pass nurturing skills to the young. A centenarian matriarch's post-reproductive lifespan can be more than 40 years, two-fifths of her lifespan. How can one begin to investigate prospectively the aging process occurring in her? Worst of all, there is no simple biological model available for us to study the aging process, which would require observing individuals over close to half of their lifetime, during the post-reproductive period. Even models such as the standard rodent systems, rats and mice, would require a period of 3 years to provide the entire picture of physiological changes over the lifespan. The primate models would require even longer, 15–30 years, to complete a thorough characterization of the aging process. Therefore, if research proves that thechanges that happen during microgravity travel may be a telescopic compression of changes that take a lifetime, the immediate gain from space study is to provide experimental model systems that are otherwise unavailable. Once this is proven to be true, any therapeutic treatment to combat microgravity-induced degeneration could be easily adapted to the attempt to deter, delay, or reduce the burden of age-dependent debility, the ultimate goal of every biologist who studies the etiology of aging-dependent diseases. We do not imply that the astronauts are human guinea-pigs for aging studies but rather explorers of the frontiers of the unknown in the sphere of biology as well as astronomy.


   NONLINEAR DYNAMICS AND COMPLEX SYSTEMS
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INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
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The success of the molecular revolution in identifying key genetic factors associated with many familial diseases has unearthed many shortcomings in the recently prevailing philosophy regarding how the many biological processes operate. A common mistake is the inability to comprehend that our human body is composed of tissues whose cells are not configured as in two-dimensional culture plates, with the selected and cloned progeny of a single cell strain. The success of a molecular manipulation such as antisense transfection to knock out the function of a single gene is the beginning millimeter of advance in a mile-long quest for the eventual understanding of how that single gene functions in a cell in an organ of an individual who is of a defined subset of a population (Fig. 1 ). It is important to realize that none of the genetic traits we inherit functions in isolation, independent of the environment to which they are subject (Fig. 2 ). Therefore, in order to understand the complexities that govern the outcome of our physiological actions, we must entertain a shift of rationale and experimental design from the reductionist's point of view to a system analysis. We may have to shift conceptual gears to analyze not only how a single gene functions, but also how it coordinates with hundreds of other genes in the cellular milieu (Fig. 3 ). As we contemplate how each of hundreds of genes contributes to controlling the fundamental mechanisms dictating the proliferation and differentiation programs of individual cells, we must realize that these processes are keyed in the multilayers of superimposed orchestration of operation that eventually precipitate an action to drive the cells to proliferate or differentiate (Fig. 4 ).



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Figure 1. Diagrammatic illustration of how genes, cells, organs, individuals, and populations operate in a series of concentric spheres of functional working order.



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Figure 2. Diagrammatic illustration of the hypothesis that lifespan determination is governed by the interaction of genetic and epigenetic factors, and how different molecular processes and other factors influence the outcome of this interaction.



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Figure 3. Categories of pertinent areas of paradigm shift.



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Figure 4. Diagrammatic illustration of the interlocking orchestration of various molecular processes involved in the functional gene expression leading to the eventual precipitation of biological states such as apoptosis, proliferation, or differentiation.


   CONCLUSION: NEED FOR A NEW APPROACH
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INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
REFERENCES
 
Clearly, we are confronted with problems as to how to begin to set up experiments that require the analysis of a genetic framework composed of hundreds of genes' actions. The recent emergence of high-throughput technology in the micro-array approach provides the technical capability to trace hundreds of parallel analyses of gene expressions at the levels of DNA, RNA, and protein specimens, through transcriptional, translational, and posttranslational regulation. One byproduct of the current Human Genome Project is the establishment of high-speed automatic DNA sequencing, affording us the previously unimaginable speed of identifying a million base pairs of information daily in the genetic make-up of Homo sapiens. This type of technological advance, marrying the molecular approach with computerized automatic systems, will certainly position us in the next century with the technology and tools needed to dissect complex changes such as age-dependent atrophy and microgravity effects on human physiology, and what is common between them. Advances in this direction will surely demonstrate that bioinformatics with a computational biology approach is a necessary tool for data analysis. The outcry for experimental design in future information gathering, in advance of understanding travel either in space or on Earth, will certainly be questions such as: what are the controls? who is being compared with whom? the newborn? those with perfect health? those with accumulated stress? Moreover, with the advances of technology and explosion of genetic information, we will need a translation from millions of data points to an understandable lexicon, usable and applicable to the next level of experimental design to extract new information. Thus, the hunger for advances as to how to diminish age-dependent or microgravity-travel atrophy will only be satisfied by the integration of diverse disciplinary approaches from mathematics to genes, from engineering to proteins. The ultimate goal is then how to use the present advances in the information highway to pave another set of highways leading us to understand how our human body works, and how we can orchestrate to maximize its functionality, in space or on Earth.


   ACKNOWLEDGMENTS
 
This work was supported by an operating grant (R01 AG09278) from the National Institute on Aging of the National Institutes of Health and from the Defense Advance Research Project Agency of the U.S. Department of Defense. The author is deeply indebted to Mr. Alan N. Bloch for many contributory discussions and editorial comments, as well as proofreading the text.


   REFERENCES
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ABSTRACT
INTRODUCTION
REVIEW OF RECENT MOLECULAR...
APOPTOSIS, AGE-DEPENDENT MUSCLE...
DOES RESEARCH IN SPACE...
NONLINEAR DYNAMICS AND COMPLEX...
CONCLUSION: NEED FOR A...
REFERENCES
 

  1. Jazwinski, S. M. (1996) Longevity, genes, and aging. Science 273,54-59[Abstract]
  2. Lumpkin, C. K., Jr, McClung, J. K., Pereira-Smith, O. M., Smith, J. R. (1986) Existence of high abundance antiproliferative MRNA's in senescent human diploid fibroblasts. Science 232,393-395[Abstract/Free Full Text]
  3. Campisi, J. (1996) Replicative senescence: an old lives' tale. Cell 84,497-500[Medline]
  4. Annab, L. A., Dong, J. T., Futreal, P. A., Satoh, H., et al (1992) Growth and transformation suppressor genes for BHK Syrian hamster cells on human chromosomes 1 and 11. Mol. Carcinogen. 6,280-288[Medline]
  5. Hensler, P. J., Annab, L. A., Barrett, J. C., Pereira-Smith, O. M. (1994) A gene involved in control of human cellular senescence on human chromosome 1q. Mol. Cell Biol. 14,2291-2297[Abstract/Free Full Text]
  6. Ning, Y., Weber, J. L., Killary, A. M., Ledbetter, D. H., et al (1991) Genetic analysis of indefinite division in human cells: evidence for a cell senescence-related gene(s) on human chromosome 4. Proc. Natl. Acad. Sci. USA 88,5635-5639[Abstract/Free Full Text]
  7. Harley, C. B., Futcher, A. B., Greider, C. W. (1990) Telomeres shorten during ageing of human fibroblasts. Nature (London) 345,458-460[Medline]
  8. Guarente, L. (1996) Do changes in chromosomes cause aging?. Cell 86,9-12[Medline]
  9. Seshadri, T., Campisi, J. (1990) Repression of c-fos transcription and altered genetic program in senescent human fibroblasts. Science 247,205-209[Abstract/Free Full Text]
  10. Dulic, V., Drullinger, L. F., Lees, E., Reed, S. I., Stein, G. H. (1993) Altered regulation of G1 in senescent human diploid fibroblasts: accumulation of inactive cyclin E-Cdks and cyclin D1-Cdk2 complexes. Proc. Natl. Acad. Sci. USA 90,11034-11038[Abstract/Free Full Text]
  11. Stein, G. H., Beeson, M., Gordon, L. (1990) Failure to phosphorylate the retinoblastoma gene product in senescent human fibroblasts. Science 249,666-669[Abstract/Free Full Text]
  12. Noda, A., Ning, Y., Venable, S. F., Pereira-Smith, O. M., Smith, J. R. (1994) Cloning of senescent cell-derived inhibitors of DNA synthesis using an expression screen. Exp. Cell Res. 211,90-98[Medline]
  13. Serrano, M., Lin, A. W., McCurrach, M. E., Beach, D., Lowe, S. W. (1997) Oncogenic ras provokes premature cell senescence associated with accumulation of p53 and p16INK4a. Cell 88,593-602[Medline]
  14. Afshari, C. A., Vojta, P. J., Annab, L. A., Futreal, P. A., Willard, T. B., Barrett, J. C. (1993) Investigation of the role of G1/S cell cycle mediators in cellular senescence. Exp. Cell Res. 209,231-237[Medline]
  15. Alcorta, D. A., Xiong, Y., Phelps, D., Hannon, G., Beach, D., Barrett, J. C. (1996) Involvement of the cyclin-dependent kinase inhibitor p16 (INK4a) in replicative senescence of normal human fibroblasts. Proc. Natl. Acad. Sci. USA 93,13742-13747[Abstract/Free Full Text]
  16. Atadja, P., Wong, H., Garkavisev, I., Veillette, C., Riabowol, K. (1995) Increased activity of p53 in senescent fibroblasts. Proc. Natl. Acad. Sci. USA 92,8346-8352
  17. Reznikoff, C. A., Yeager, T. R., Belair, C. D., Savelieva, E., Puthenveet-til, J. A., Stadler, W. M. (1996) Elevated p16 at senescence and loss of p16 at immortalization in human papilloma virus 16 E6, but not E7, transformed human uroepithelial cells. Cancer Res 56,2886-2890[Abstract/Free Full Text]
  18. Ogryzko, V. V., Hirai, T. H., Russanova, V. R., Barbie, D. A., Howard, B. H. (1996) Human fibroblast commitment to a senescence-like state in response to histone deacetylase inhibitors is cell cycle dependent. Mol. Cell. Biol. 16,5210-5218[Abstract]
  19. Wang, E. (1995) Failure to undergo programmed cell death in senescent human fibroblasts is related to inability to down-regulate bcl 2 presence. Cancer Res 55,2284-2292[Abstract/Free Full Text]
  20. Cahill, M. A., Janknecht, R., Nordheim, A. (1996) Signalling pathways: jack of all cascades. Curr. Biol. 6,16-19[Medline]
  21. Cheatham, B., Kahn, C. R. (1995) Insulin action and the insulin signalling network. Endocr. Rev. 16,117-142[Medline]
  22. Pumiglia, K. M., Decker, S. J. (1997) Cell cycle arrest mediated by the MEK/mitogen-activated protein kinase pathway. Proc. Natl. Acad. Sci. USA 94,448-452[Abstract/Free Full Text]
  23. Perkins, N. D., Felzien, L. K., Betts, J. C., Leung, K., Beach, D. H., Nabel, G. J. (1997) Regulation of NF-{kappa}B by cyclin-dependent kinases associated with the p300 coactivator. Science 275,523-527[Abstract/Free Full Text]
  24. Lopez-Llasaca, M., Crespo, P., Giuseppe-Pellici, P., Gutkind, J. S., Wetzker, R. (1997) Linkage of G protein-coupled receptors to the MAPK signalling pathway through PI 3-kinase gamma. Science 275,394-397[Abstract/Free Full Text]
  25. Lee, F. S., Hagler, J., Chen, Z. J., Maniatis, T. (1997) Activation of the I{kappa}B{alpha} kinase complex by MEKK1, a kinase of the JNK pathway. Cell 88,213-222[Medline]
  26. Hughes, P. E., Renshaw, M. W., Pfaff, M., Forsyth, J., Keivens, V. M., Schwartz, M. A., Ginsberg, M. H. (1997) Suppression of integrin activation: a novel function of a Ras/Raf-initiated MAP kinase pathway. Cell 88,521-530[Medline]
  27. Franke, T. F., Kaplan, D. R., Cantley, L. C. (1997) PI3K: Downstream AKTion blocks apoptosis. Cell 88,435-437[Medline]
  28. Momand, J., Zambetti, G. P. (1997) Mdm2: "Big Brother of p53.". J. Cell. Biochem. 64,343-352[Medline]
  29. McAdams, H. H., Arkin, A. (1997) Stochastic mechanism in gene expression. Proc. Natl. Acad. Sci. USA 94,814-819[Abstract/Free Full Text]
  30. Stillman, B. (1996) Cell cycle control of DNA replication. Science 274,1659-1664[Abstract/Free Full Text]
  31. Elledge, S. J. (1996) Cell cycle checkpoints: preventing an identity crisis. Science 274,1664-1672[Abstract/Free Full Text]
  32. Sherr, C. J. (1996) Cancer cell cycles. Science 274,1672-1677[Abstract/Free Full Text]
  33. Hunter, T. (1993) Braking the cycle. Cell 75,839-841[Medline]
  34. Paulovich, A. G., Toczyski, D. P., Hartwell, L. H. (1997) When checkpoints fail. Cell 88,315-322[Medline]
  35. Levine, A. J. (1997) p53, the cellular gatekeeper for the growth and division. Cell 88,323-332[Medline]
  36. Hunter, T. (1997) Oncoprotein networks. Cell 88,333-346[Medline]
  37. Follette, P. J., O'Farrell, P. H. (1997) Connecting cell behavior to patterning, lessons from the cell cycle. Cell 88,309-314[Medline]
  38. Franklin, D. S., Xiong, Y. (1996) Induction of p18INK4c and its predominant association with CDK4 and CDK6 during myogenic differentiation. Mol. Biol. Cell 10,1587-1599
  39. Vaux, D. L. (1993) Toward an understanding of the molecular mechanisms of physiological cell death. Proc. Natl. Acad. Sci. USA 90,786-789[Abstract/Free Full Text]
  40. Wyllie, A. H., Kerr, J. F. R., Currie, A. R. (1980) Cell death: the significance of apoptosis. Int. Rev. Cytol. 68,251-307[Medline]
  41. Ucker, D. S. (1991) Death by suicide—one way to go in mammalian cellular development. New Biologist 3,103-109[Medline]
  42. Wyllie, A. H., Morris, R. G., Smith, A. L., Dunlop, D. (1984) Chromatin cleavage in apoptosis: Association with condensed chromatin morphology and dependence on macromolecular synthesis. J. Pathol. 142,67-77[Medline]
  43. White, E. (1996) Life, death, and the pursuit of apoptosis. Genes Dev 10,1-15[Free Full Text]
  44. Glucksmann, A. (1951) Cell deaths in normal vertebrate ontogeny. Biol. Rev. 26,59-86
  45. Wyllie, A. H. (1980) Glucocorticoid-induced thymocyte apoptosis is associated with endogenous endonuclease activation. Nature 284,555-556[Medline]
  46. Ellis, R. E., Horvitz, H. R. (1986) Genetic control of programmed cell death in the nematode C. elegans. Cell 44,817-829[Medline]
  47. Martin, S. J., Green, D. R. (1995) Protease activation during apoptosis: Death by a thousand cuts?. Cell 82,349-352[Medline]
  48. Evan, G. I., Wyllie, A. H., Gilbert, C. S., Littlewood, T. D., Land, H., Brooks, M., Waters, C. M., Penn, L. Z., Hancock, D. C. (1992) Induction of apoptosis in fibroblasts by c-myc protein. Cell 69,119-128[Medline]
  49. Smeyne, R. J., Vendrell, M., Hayward, M., Baker, S. J., Miao, G. G., Schilling, K., Robertson, L. M., Curran, T., Morgan, J. I. (1993) Continuous c-fos expression precedes programmed cell death in vivo. Nature 363,166-169[Medline]
  50. Chen, Y.-Y., Rosenberg, N. (1992) Lymphoid cells transformed by Abelson virus require the v-abl protein-tyrosine kinase only during early G1. Proc. Natl. Acad. Sci. USA 89,6683-6687[Abstract/Free Full Text]
  51. Colombel, M., Olsson, C. A., Ng, P. Y., Buttyan, R. (1992) Hormone regulated apoptosis results from reentry of differentiated prostate cells into a defective cell cycle. Cancer Res 50,4313-4319
  52. Pandey, S., Wang, E. (1995) Cells en route to apoptosis are characterized by the up-regulation of c-fos, c-myc, c-jun, cdc-2, and RB phosphorylation, resembling events of early cell-cycle traverse. J. Cell. Biochem. 58,135-150[Medline]
  53. Meikrantz, W., Schlegel, R. (1995) Apoptosis and the cell cycle. J. Cell. Biochem. 58,160-174[Medline]
  54. King, K. L., Cidlowski, J. A. (1995) Cell cycle and apoptosis: common pathways to life and death. J. Cell. Biochem. 58,175-180[Medline]
  55. Cyrus, V., Yuan, J. (1998) Proteases to die for. Genes Dev 12,1551-1570[Free Full Text]
  56. Houweling, A., He, X., and Wang, E. (1995) An apoptosis pathway regulated by the potential for proliferation rather than dependence on p53 gene expression. 35th Annual Meeting of the American Society for Cell Biology, Washington, DC
  57. Symonds, H., Krall, L., Remington, L., Saenz-Robeles, M., Lowe, S., Jacks, T., Van Dyke, T. (1994) p53-dependent apoptosis suppresses tumor growth and progression in vivo. Cell 73,703-711
  58. Vogelstein, B., Kinzier, K. W. (1992) p53 function and dysfunction. Cell 70,523-526[Medline]
  59. Yonish-Rouach, E., Grunwald, D., Wilder, S., Kimchi, A., May, E., Lawrence, J-J., May, P., Oren, M. (1993) p53-mediated cell death: Relationship to cell cycle control. Mol. Cell Biol. 13,1415-1423[Abstract/Free Full Text]
  60. Clarke, A. R., Pordie, C. A., Harrison, D. J., Morris, R. G., Bird, C. C., Hooper, M. L., Wyllie, A. H. (1993) Thymocyte apoptosis induced by p53-dependent and independent pathways. Nature 362,849-852[Medline]
  61. Gottlieb, E., Haffner, R., von Ruden, T., Wagner, E. F., Oren, M. (1994) Down-regulation of wild-type p53 activity interferes with apoptosis of IL-3 dependent haematopoietic cells following IL-3 withdrawal. EMBO J 13,1368-1374[Medline]
  62. Harris, A. L. (1992) p53 expression in human breast cancer. Adv. Cancer Res. 59,69-88[Medline]
  63. Hollstein, M., Sidransky, D., Vogelstein, B., Harris, C. C. (1991) p53 mutations in human cancer. Science 253,49-53[Abstract/Free Full Text]
  64. Kastan, M. B., Onyekwere, O., Sidransky, D., Vogelstein, B., Craig, R. (1991) Participation of p53 in the cellular response to DNA damage. Cancer Res 51,6034-6311
  65. Carlson, B. M., Faulner, J. A. (1989) Muscle transplantation between young and old rats: age of host determines recovery. Am. J. Physiol. 256,1262-1266
  66. Carlson, B. M. (1995) Factors influencing the repair and adaptation of muscles in aged individuals: Satellite cells and innervation. J. Gerontol. 56A(Suppl.),96-100
  67. Faulkner, J. A., Brook, S. V., Zerba, E. (1990) Skeletal muscle weakness and fatigue in old age: Underlying mechanisms. Annu. Rev. Geront. Geriat. 10,147-166
  68. Brooks, S. V., Faulkner, J. A. (1993) Skeletal muscle weakness in old age: underlying mechanisms. Med. Sci. Sports Exer. 26,432-439
  69. Lee, S., Francoeur, A. M., Liu, S., Wang, E. (1992) Tissue-specific expression in mammalian brain, heart, and muscle of S1, a member of the EF-1 gene family. J. Biol. Chem. 267,24064-24068[Abstract/Free Full Text]
  70. Lee, S., Stollar, E., Wang, E. (1993) Localization of S1 and elongation factor-1{alpha} MRNA in rat brain and liver by non-radioactive in situ hybridization. J. Histochem. Cytochem. 41,1093-1098[Abstract]
  71. Lee, S., Wolfraim, L. A., Wang, E. (1993) Characterization of the differential expression of S1 and Elongation factor-1 alpha during rat development. J. Biol. Chem. 268,24453-24459[Abstract/Free Full Text]
  72. Lee, S., Ann, D, Wang, E. (1994) Cloning of human and mouse CDNAs for S1, the second member of the mammalian elongation factor-1 alpha gene family: analysis of a possible evolution pathway. Biochem. Biophys. Res. Commun. 203,1371-1377[Medline]



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