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Departments of Medicine, Pharmacology and Physiology, and Neurology, University of Rochester, Rochester, New York 14642
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ABSTRACT |
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To gain a better understanding of the potential role of altered gene expression in the diminished muscle function in old age, we performed a broad search for transcripts expressed at quantitatively different levels in younger (21-24 yr) and older (66-77 yr) human vastus lateralis muscle by serial analysis of gene expression (SAGE). Because SAGE was based on RNA pooled from muscle of several different subjects, relative concentrations of selected mRNAs also were determined in individual muscle samples by quantitative RT-PCR. There were 702 SAGE tags detected at least 10 times in one or both mRNA pools, and the detection frequency was different (at P < 0.01) between young and older muscle for 89 of these. The ratio of myosin heavy chain 2a mRNA to myosin heavy chain 1 mRNA was reduced in older muscle. The mRNAs encoding several mitochondrial proteins involved in electron transport (including several subunits of cytochrome-c oxidase and NADH dehydrogenase) and subunits of ATP synthase were ~30% less abundant in older muscle. Several mRNAs encoding enzymes involved in glucose metabolism also were less abundant in older muscle. Analysis of individual samples revealed that the differences suggested by SAGE were not artifacts of atypical gene expression in one or a few individuals. These data suggest that some of the phenotypic changes in senescent muscle may be related to altered gene transcription.
gene expression; reverse transcriptase-polymerase chain reaction; electron transport; adenosine 5'-triphosphate synthase; myosin heavy chain messenger ribonucleic acid; cytochrome-c oxidase messenger ribonucleic acid; reduced nicotinamide adenine dinucleotide dehydrogenase messenger ribonucleic acid
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INTRODUCTION |
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POSTMATURATIONAL AGING IS associated with reduced muscle mass, strength, and aerobic capacity (4, 11). The cellular and molecular basis of these age-related changes is not completely understood. Techniques that allow rapid examination of the relative expression of hundreds or thousands of mRNAs may lead to a better understanding of the role of gene expression in the aging process. The differential display method suggested that ~2% of the genes expressed in several tissues (brain, heart, liver) of rats are either under- or overexpressed in old animals (14). Gene array technology indicated that a similar percentage of transcripts is under- or overexpressed in muscle of old mice relative to muscle of younger adult animals (16). In the present report, we describe our search for age-related changes in gene expression in human muscle by serial analysis of gene expression (SAGE). This method provides a quantitative profile of the mRNAs expressed in a tissue by generating an inventory of short-sequence tags that identify specific mRNAs (25). For the present study, we cataloged over 100,000 SAGE tags derived from muscle of young and older men. Because the SAGE inventory was based on RNA pooled from several muscle samples, we also measured concentrations of selected mRNAs in the individual muscle samples. This verification is important because differences in pooled samples might be related to unusual gene expression in one or a few individuals.
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METHODS |
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Subjects. Sixteen men (8 young, 21-24 yr old; 8 older, 66-77 yr old) were recruited by newspaper advertisements. All subjects were healthy as determined by history, physical examination, and laboratory tests (glucose, electrolytes, thyroid-stimulating hormone, liver enzymes, creatine kinase, creatinine, urea, complete blood count). Neuromuscular function was normal in all subjects. None was engaged in any strenuous exercise program. Written consent was obtained from all subjects after the procedures and risks were explained. The project was approved by the University of Rochester Research Subjects Review Board. The SAGE inventory of the younger muscle has been described elsewhere (28).
Procedures.
An important feature of this study is that subjects followed a
standardized protocol before donating muscle. Subjects refrained from
exercise more strenuous than walking for 3 days before being admitted
to the University of Rochester General Clinical Research Center. They
were admitted the evening before the muscle biopsy procedure for more
stringent control of diet and activity. They received a standard
dinner, fasted overnight, and then received a standard breakfast 90 min
before the muscle biopsy. The needle biopsy was obtained from the
vastus lateralis muscle within a few minutes of anesthetizing the skin
and muscle. The tissue sample was frozen in liquid nitrogen within
30 s and then stored at
70°C.
Extraction and measurement of total RNA.
The frozen muscle was homogenized with a Polytron in 1 ml Tri-Reagent
(Molecular Research Center, Cincinnati, OH). The homogenate was
centrifuged at 12,000 g for 15 min, and the aqueous
supernatant containing the RNA was transferred to a separate tube for
ethanol precipitation. The precipitate was dissolved in RNase-free
water (2 µl/mg tissue) and stored at
70°C. The amount of RNA
extracted from the tissue was determined by absorbance of ultraviolet
light at 260 nm, with background compensation for the absorbance at 320 nm, by using a GeneQuant RNA/DNA calculator (Pharmacia Biotech, Piscataway, NJ).
Polyadenylated RNA. Total RNA (0.4 µg) was applied to a positively charged nylon membrane with a slot-blotting apparatus and hybridized with a 32P-labeled oligo(dT)18 probe as described previously (26). The relative amount of probe bound to each slot was quantified with a PhosphorImager by using the ImageQuant software provided by the manufacturer (Molecular Dynamics, Sunnyvale, CA). The mRNA concentration was determined by comparison of the signal with that of a known amount of human muscle mRNA applied to the same membrane.
SAGE. SAGE was performed as described elsewhere (28) with pooled mRNA from each age group. This method provides a digital profile of gene expression by counting the number of times short (14-base) sequence tags characteristic of each mRNA are detected in a cDNA library.
Quantitative RT-PCR.
Very little RNA remained from each individual after samples were
pooled for SAGE, not enough to evaluate very many transcripts by
Northern blotting or RNase protection. The only method sensitive enough
for examination of numerous transcripts was quantitative RT-PCR. This
method was used to evaluate the relative levels in individual samples
of some of the mRNAs that did not appear (according to SAGE) to be
affected by aging (
-actin, myoglobin, creatine kinase) and some of
the mRNAs that appeared to be differentially expressed in younger and
older muscle. The latter group included mRNAs encoding myosin heavy
chain (MHC) isoforms, for which the RT-PCR assay has been described
previously (27). We also focused on mRNAs encoding
proteins involved in the mitochondrial electron transport and ATP
synthase complexes, because many transcripts in this category appeared
to be differentially expressed in young and old muscle. The relative
concentrations of mRNAs encoding mitochondrial RNA polymerase and
mitochondrial transcription factor A (mtTFA) also were determined by
quantitative RT-PCR, because these factors are essential for
transcription of mitochondrial DNA (mtDNA) (7,
15, 20).
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Data analysis. The statistical significance of differences in the number of times specific SAGE tags were detected in each sample was determined as recommended (1). RT-PCR results are expressed as a percentage of the mean value in young muscle, and differences between age groups were determined by t-tests for independent samples. Means are presented with SEs.
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RESULTS |
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Total RNA and mRNA. The total RNA concentration was similar in younger (0.53 ± 0.04 µg/mg tissue) and older muscle (0.50 ± 0.02 µg/mg tissue). Older muscle had slightly more polyadenylated RNA per nanogram of total RNA (9.3 ± 0.5 vs. 7.7 ± 0.3 pg/ng RNA, P = 0.03). Per milligram of tissue (ng RNA/mg tissue × polyadenylated RNA/ng RNA), there was no significant difference in mRNA between younger and older muscle (P = 0.30).
SAGE results. The entire SAGE database can be viewed or downloaded from our web site, http://www.urmc.rochester.edu/smd/CRC/SWindex.html. The number of SAGE tags cataloged was nearly equal for the younger (53,875 tags) and older samples (53,853 tags). There were 21,116 unique SAGE tags detected: 12,207 of these were detected in the sample from younger muscle, and 13,835 in the sample from older muscle. Most tags (~95%) corresponded to mRNAs that comprise <0.02% of the mRNA population, i.e., they were detected fewer than 10 times in each sample. The confidence interval is wide for the relative abundance of these transcripts (1); therefore, we focused on the 702 tags that were detected at least 10 times in either the young (580 tags) or old (557 tags) samples or both (435 tags). At P < 0.01, 89 of these 702 tags had counts that were significantly different between young and old. For 28 of these, the old-to-young ratio was <0.5, and for 31 it was >2. At P < 0.05, 178 of the 702 tags had counts that were different in young and old. For 56 of these, the old-to-young ratio was <0.5, and for 58 tags it was >2. A computer program that searched for single-nucleotide polymorphisms of the abundant tags suggested that ~10% of the age-related differences in our SAGE database result from a polymorphism present in one pool and not the other. We cannot separate these polymorphisms from PCR or sequencing errors based on the available data, but such errors should be random and would not be expected to be more common in one sample than in the other.
As expected, mRNAs encoding contractile proteins were very abundant. The most abundant nonmitochondrial transcript was
-actin mRNA, which
was present in similar concentrations in younger (1,001 tags) and older
muscle (1,004 tags). The MHC mRNAs (types 1, 2a, 2x combined) were 30%
less abundant in older muscle (993 tags) than in young muscle (1,433 tags, P < 0.001). In young muscle, type 1 accounted
for 58%, type 2a for 39%, and type 2x for 3% of the MHC mRNA. In
older muscle, the corresponding values were 64, 33, and 3%. Thus the
2a:1 ratio was 23% less in older muscle. Age-related differences in
the tags corresponding to the mRNAs of myosin light chain and troponin
isoforms also were consistent with a smaller contribution of
fast-twitch fibers to the mRNA pool in older muscle.
SAGE indicated that the mRNAs encoding several enzymes involved in
glucose or glycogen metabolism are among the most highly expressed
transcripts in human muscle and tend to be less abundant in older
muscle (Table 1). The age-related
reduction in transcripts encoding these enzymes may be secondary to the
shift in fiber-type composition (reduced ratio of type 2 to type 1 in
older muscle, as discussed above).
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Quantitative RT-PCR.
Figure 3 shows the mean relative
concentrations of several mRNAs according to RT-PCR of individual
samples. In agreement with SAGE, there was no age-related difference in
the concentrations of mRNAs encoding
-actin, myoglobin, or creatine
kinase. The modest decline in type 1 MHC mRNA suggested by SAGE was not
verified by RT-PCR, but the decline in type 2a MHC mRNA was confirmed. According to RT-PCR, the average 2a:1 ratio was 41% less in older muscle (P = 0.03). Type 2x MHC mRNA expression was
highly variable, especially among the younger subjects, so that there
was no statistically significant difference between age groups. The
50% reduction in older muscle of phosphoglycerate mutase mRNA that was
suggested by SAGE was confirmed by RT-PCR. However, the mean decline in glycogen synthase mRNA in older muscle was only 18% (not significant) according to RT-PCR, less than the 70% decline suggested by SAGE.
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, ATP synthase coupling factor 6, NADH dehydrogenase 15-kDa
subunit), the magnitude of the age-related difference, while highly
significant (P
0.001), was about one-half the magnitude
suggested by SAGE. According to RT-PCR, the mean levels of mRNAs
encoding proteins involved in electron transport and ATP synthesis were
26-36% less in older muscle.
SAGE suggested that two mtDNA transcripts, cytochrome-c
oxidase 3 and cytochrome b mRNAs, were more abundant in
older muscle than in younger muscle. This result was unexpected because
the mRNAs encoded by mtDNA are spliced from a single primary
transcript, and several other mRNAs encoded by mtDNA were less abundant
in older muscle. RT-PCR indicated that these mRNAs were underexpressed in older muscle by about the same amount as the other mtDNA
transcripts. This discrepancy between SAGE and RT-PCR pointed to a flaw
in the SAGE inventory. Apparently there was a bias toward detecting a
tag less frequently in the young sample when the tag corresponds to a
sequence >500 bases from the polyadenylation site (as is the case for
cytochrome-c oxidase 3 and cytochrome b tags).
When cDNA was prepared from pooled mRNA for the production of SAGE tags, the RT reactions were not done simultaneously for the younger and
older samples. The reaction appeared to be less efficient at producing
longer cDNAs when the mRNA pool from young muscle was reverse
transcribed, resulting in underrepresentation of transcripts when the
SAGE sequence is far upstream from the polyadenylation site. This
hypothesis was confirmed by the fact that cDNA (an aliquot that was not
digested with NlaIII) corresponding to the 5' end of cytochrome
b mRNA was less abundant in the pool from young muscle,
whereas cDNA corresponding to the 3' end of cytochrome b
mRNA was more abundant. This problem pertains only to the cDNA that was
used to make SAGE tags, because all cDNA samples used in the RT-PCR
assays were prepared simultaneously.
In RNA samples that were treated with DNase, there was no significant
age-related difference in the mRNAs encoding
-actin (P = 0.12), myoglobin (P = 0.21), and
type 1 MHC (P = 0.55), consistent with the results from
the same RNA samples not treated with DNase. Also consistent with the
data obtained from the same RNA before DNase treatment, the DNased RNA
from older muscle had significantly lower (35-50%) levels of
mtDNA transcripts encoding ATP synthase 6/8 (P = 0.004), cytochrome-c oxidase 2 (P = 0.002)
and 3 (P = 0.001), NADH dehydrogenase 1 (P = 0.01) and 3 (P = 0.007), and cytochrome b (P = 0.003).
The mitochondrial RNA polymerase mRNA concentrations were similar in
younger and older muscle. There was a slight difference in mtTFA mRNA
levels between young and old samples (Fig. 3) that achieved marginal
statistical significance.
The interindividual variability within each age group, as reflected by
SDs and ranges, was generally similar. There was no evidence that the
age-related differences suggested by SAGE were the result of one or a
few individuals with unusual patterns of gene expression.
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DISCUSSION |
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The role, if any, of altered gene expression in the etiology or adaptation to reduced muscle mass and performance in old age is unclear. To begin to address this issue, we used SAGE to compare levels of mRNAs in younger and older muscle. SAGE is a powerful tool because it provides relative quantitation of thousands of different transcripts. Although precision is poor for tags detected infrequently (1), we detected several hundred tags frequently enough to be fairly confident of the mean expression level of the corresponding mRNA.
The SAGE database reflects the average gene expression pattern in muscle pooled from several individuals within each age group. It does not provide any information about individual variation. In the catalog from young muscle, there was underrepresentation of transcripts for when the SAGE tag is far from the 3' end (see RESULTS for explanation). For these reasons, the SAGE results are tentative, and any of the suggested age-related differences should be confirmed with another method before being accepted. Despite the limitations, SAGE was useful in pointing to many differentially expressed transcripts. In most cases that we tested, the differences in mRNA levels between younger and older muscle that were suggested by SAGE were confirmed by quantitative RT-PCR.
In any comparison of mRNA concentrations between groups, the
denominator is important. With SAGE, each mRNA species is quantified in
relation to the total pool of all mRNAs. Because the concentration of
polyadenylated RNA per milligram tissue was similar in younger and
older muscle, the SAGE data also reflect age-related differences in
mRNA concentrations per milligram tissue. With the RT-PCR method used
in the present study, each mRNA was quantified in relation to total
RNA, because the same amount of RNA was used in every RT reaction.
Total RNA levels were similar in younger and older muscle, so that the
results from the RT-PCR method also reflect mRNA per milligram tissue.
Another issue in comparing young and old muscle is the cellular source
of the RNA. Although most of the mass of muscle tissue is multinuclear
muscle fibers, small mononuclear cells (e.g., fibroblasts, endothelial
cells, satellite cells) account for ~25% of the nuclei in a muscle
sample (26). This proportion is similar in young and old
muscle (26); thus it is unlikely that older muscle has a
higher proportion of RNA from mononuclear cells. The fact that levels
of several muscle-specific transcripts (
-actin, myoglobin, creatine
kinase) are similar in younger and older muscle also indicates that the
age-related differences observed in the present study are not caused by
a difference in the proportion of RNA from mononuclear cells.
Although the distribution of mRNA between muscle fibers and mononuclear cells is probably similar in young and old muscle, the contribution of type 1 and type 2 muscle fibers to the mRNA pool is affected by age. According to both SAGE and RT-PCR, the ratio of type 2a MHC mRNA to type 1 MHC mRNA is reduced in older muscle. These results are consistent with the general finding that type 2 muscle fibers tend to atrophy during aging more than type 1 fibers (17). Selective type 2 fiber atrophy in older muscle might explain, at least in part, the lower levels of mRNAs encoding enzymes involved in glucose and glycogen metabolism. This hypothesis must be verified by in situ hybridization or some other method that allows mRNA levels in type 1 and type 2 fibers to be measured separately.
Because mitochondrial mass, respiratory enzyme activity, and mtDNA transcript levels are greater in type 1 fibers (21, 23), a higher ratio of type 1 to type 2 fiber mass in older muscle would be expected to result in increased levels of mtDNA transcripts and other mRNAs encoding mitochondrial proteins. However, both SAGE and quantitative RT-PCR indicated that concentrations of many mRNAs encoding proteins involved in mitochondrial electron transport and ATP synthesis are less in old muscle than in young adult muscle. These data suggest that reduced gene transcription or mRNA stability in older muscle may contribute to the declines in NADH dehydrogenase activity, cytochrome-c oxidase activity, and ATP regenerating capacity, which have been described in older muscle (8, 9, 18, 22, 24). It is unclear whether there is a decline in older muscle in concentrations of the electron transport complexes (3, 5). Even if the concentrations of these proteins are not different in younger and older muscle, reduced mRNA concentrations could theoretically impair enzyme-specific activity by slowing protein turnover (22). Slow turnover prolongs exposure of proteins to attack from reactive oxygen species, which may be an especially significant problem in mitochondria because they generate reactive oxygen species.
A few of the mRNAs encoding electron transport and ATP synthase proteins are transcripts of mtDNA. Previous studies of various tissues of Drosophila and rats, including skeletal muscle, indicated that aging is associated with reduced levels of these mRNAs (2, 6, 12, 13). In rat brain, the decline in mtDNA transcripts with aging appears to result from reduced transcription rather than reduced mRNA stability (12). In theory, a reduction in mtDNA transcripts in older muscle could be mediated by a reduced number of copies of mtDNA. In rat brain and heart, and in Drosophila, the age-related decline in mtDNA transcripts occurs without a decline in the number of copies of mtDNA (6, 12, 13). However, a recent preliminary report indicated that in rat muscle the age-related decline in mtDNA transcripts was about the same as the decline in mtDNA content (2). In human fibroblasts from older donors, there is an accumulation of point mutations in the mtDNA control region for replication, which suggests a possible mechanism for reduced mtDNA copy number (19). The abundance of the mRNA encoding mitochondrial RNA polymerase, which is essential for transcription of mtDNA, was similar in younger and older muscle. There was only a slight (16%) reduction in older muscle of the mRNA encoding mtTFA, which enhances transcription of mtDNA (15, 20). Although it seems unlikely that transcription of the mitochondrial RNA polymerase and mtTFA genes is reduced significantly in older muscle, we cannot discount the possibility that the concentration or activity of these factors within the mitochondria is affected by aging.
The age-related decline in expression of genes encoding proteins involved in electron transport and ATP synthesis might reflect a more sedentary lifestyle in the older men. To minimize differences in recent antecedent exercise, we asked subjects to refrain from activities more strenuous than walking for 3 days before the muscle biopsy was taken. We also excluded subjects who regularly exercised more than 2 h/wk. However, these precautions certainly do not guarantee that differences in physical activity did not have some role in the age-related differences observed in this study. It is interesting to note that hindlimb unweighting, a rodent model of muscle disuse, increases expression of glyceraldehyde-3-phosphate dehydrogenase, creatine kinase, and MHC 2x mRNAs in muscle (10), whereas older human muscle had reduced glyceraldehyde-3-phosphate dehydrogenase mRNA and no increase in either creatine kinase or MHC 2x mRNAs.
The decline in older muscle of transcripts encoding proteins involved in energy metabolism is consistent with a recent study in which a gene array method was used to search for transcripts differentially expressed in muscle of young and old mice (16). Older mice had increased expression in muscle of some mRNAs encoding proteins involved in stress responses (heat shock proteins, proteins induced by DNA damage and oxidative stress) and recovery from neuronal injury (proteins involved in reinnervation and neurite sprouting). SAGE did not detect these mRNAs frequently enough to allow any conclusions regarding the effect of age in human muscle.
Many of the age-related differences suggested by SAGE involve transcripts for which the protein product, or even the full mRNA sequence, has not been characterized. These match longer sequence tags in the GenBank expressed sequence tag database. Some of these may be identified within the next few years in the course of the sequencing of the human genome. Characterization of the proteins produced by translation of these mRNAs might provide novel information about the etiology of, or adaptation to, impaired muscle function in old age.
Aside from the issue of age-related differences, the database of over 100,000 SAGE tags may be a useful resource for investigators interested in the relative expression levels of mRNAs in human muscle. Quantitation should be fairly accurate for the most abundant mRNA species. For low-abundance transcripts, the quantitative precision is less but sufficient to differentiate them from the transcripts expressed at high-to-moderate levels.
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ACKNOWLEDGEMENTS |
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We thank Bharati Shah and Madalina Chirieac for technical assistance and Dr. K. W. Kinzler for providing the SAGE protocol and software.
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FOOTNOTES |
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This research was supported by grants from the National Institutes of Health (AG-13070, AG-10463, RR-00044) and a Paul B. Beeson Physician Faculty Scholar Award to C. A. Thornton from the Alliance for Aging Research.
Address for reprint requests and other correspondence: S. Welle, Endocrinology Unit, Univ. of Rochester Medical Center, Box 693, 601 Elmwood Ave., Rochester, NY 14642 (E-mail stephen_welle{at}urmc.rochester.edu).
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.
Received 1 January 2000; accepted in final form 23 February 2000.
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P. G. Giresi, E. J. Stevenson, J. Theilhaber, A. Koncarevic, J. Parkington, R. A. Fielding, and S. C. Kandarian Identification of a molecular signature of sarcopenia Physiol Genomics, April 14, 2005; 21(2): 253 - 263. [Abstract] [Full Text] [PDF] |
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K. R. Short, M. L. Bigelow, J. Kahl, R. Singh, J. Coenen-Schimke, S. Raghavakaimal, and K. S. Nair From the Cover: Decline in skeletal muscle mitochondrial function with aging in humans PNAS, April 12, 2005; 102(15): 5618 - 5623. [Abstract] [Full Text] [PDF] |
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H. C. Dreyer and E. Volpi Role of Protein and Amino Acids in the Pathophysiology and Treatment of Sarcopenia J. Am. Coll. Nutr., April 1, 2005; 24(2): 140S - 145S. [Abstract] [Full Text] [PDF] |
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S. Dinel, C. Bolduc, P. Belleau, A. Boivin, M. Yoshioka, E. Calvo, B. Piedboeuf, E. E. Snyder, F. Labrie, and J. St-Amand Reproducibility, bioinformatic analysis and power of the SAGE method to evaluate changes in transcriptome Nucleic Acids Res., February 16, 2005; 33(3): e26 - e26. [Abstract] [Full Text] [PDF] |
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T. J. Doherty Invited Review: Aging and sarcopenia J Appl Physiol, October 1, 2003; 95(4): 1717 - 1727. [Abstract] [Full Text] [PDF] |
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S. Welle, A. I. Brooks, J. M. Delehanty, N. Needler, and C. A. Thornton Gene expression profile of aging in human muscle Physiol Genomics, July 7, 2003; 14(2): 149 - 159. [Abstract] [Full Text] [PDF] |
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S. Welle, K. Bhatt, B. Shah, N. Needler, J. M. Delehanty, and C. A. Thornton Reduced amount of mitochondrial DNA in aged human muscle J Appl Physiol, April 1, 2003; 94(4): 1479 - 1484. [Abstract] [Full Text] [PDF] |
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P. Gromov, G. L. Skovgaard, H. Palsdottir, I. Gromova, M. Ostergaard, and J. E. Celis Protein Profiling of the Human Epidermis from the Elderly Reveals Up-regulation of a Signature of Interferon-{gamma}-induced Polypeptides That Includes Manganese-superoxide Dismutase and the p85{beta} Subunit of Phosphatidylinositol 3-Kinase Mol. Cell. Proteomics, February 1, 2003; 2(2): 70 - 84. [Abstract] [Full Text] [PDF] |
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G. Untergasser, H. B. Koch, A. Menssen, and H. Hermeking Characterization of Epithelial Senescence by Serial Analysis of Gene Expression: Identification of Genes Potentially Involved in Prostate Cancer Cancer Res., November 1, 2002; 62(21): 6255 - 6262. [Abstract] [Full Text] [PDF] |
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S. M. Roth, R. E. Ferrell, D. G. Peters, E. J. Metter, B. F. Hurley, and M. A. Rogers Influence of age, sex, and strength training on human muscle gene expression determined by microarray Physiol Genomics, September 3, 2002; 10(3): 181 - 190. [Abstract] [Full Text] [PDF] |
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G. R. Hunter, B. R. Newcomer, R. L. Weinsier, D. L. Karapondo, D. E. Larson-Meyer, D. R. Joanisse, and M. M. Bamman Age is independently related to muscle metabolic capacity in premenopausal women J Appl Physiol, July 1, 2002; 93(1): 70 - 76. [Abstract] [Full Text] [PDF] |
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J. O. Marx, W. J. Kraemer, B. C. Nindl, and L. Larsson Effects of Aging on Human Skeletal Muscle Myosin Heavy-Chain mRNA Content and Protein Isoform Expression J. Gerontol. A Biol. Sci. Med. Sci., June 1, 2002; 57(6): B232 - 238. [Abstract] [Full Text] |
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G. Cheng and J. D. Porter Transcriptional Profile of Rat Extraocular Muscle by Serial Analysis of Gene Expression Invest. Ophthalmol. Vis. Sci., April 1, 2002; 43(4): 1048 - 1058. [Abstract] [Full Text] [PDF] |
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S. WELLE, A. BROOKS, and C. A. THORNTON Senescence-related changes in gene expression in muscle: similarities and differences between mice and men Physiol Genomics, March 8, 2001; 5(2): 67 - 73. [Abstract] [Full Text] [PDF] |
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