Редактирование: LCK

Tyrosine-protein kinase Lck (EC 2.7.10.2) (Leukocyte C-terminal Src kinase) (LSK) (Lymphocyte cell-specific protein-tyrosine kinase) (Protein YT16) (Proto-oncogene Lck) (T cell-specific protein-tyrosine kinase) (p56-LCK)

==Publications==

{{medline-entry
|title=Identification of the dichotomous role of age-related [[LCK]] in calorie restriction revealed by integrative analysis of cDNA microarray and interactome.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/22828953
|abstract=Among the many experimental paradigms used for the investigation of aging, the calorie restriction (CR) model has been proven to be the most useful in gerontological research. Exploration of the mechanisms underlying CR has produced a wealth of data. To identify key molecules controlled by aging and CR, we integrated data from 84 mouse and rat cDNA microarrays with a protein-protein interaction network. On the basis of this integrative analysis, we selected three genes that are upregulated in aging but downregulated by CR and two genes that are downregulated in aging but upregulated by CR. One of these key molecules is lymphocyte-specific protein tyrosine kinase ([[LCK]]). To further confirm this result on [[LCK]], we performed a series of experiments in vitro and in vivo using kidneys obtained from aged ad libitum-fed and CR rats. Our major significant findings are as follows: (1) identification of [[LCK]] as a key molecule using integrative analysis; (2) confirmation that the age-related increase in [[LCK]] was modulated by CR and that protein tyrosine kinase activity was decreased using a [[LCK]]-specific inhibitor; and (3) upregulation of [[LCK]] leads to NF-κB activation in a ONOO(-) generation-dependent manner, which is modulated by CR. These results indicate that [[LCK]] could be considered a target attenuated by the anti-aging effects of CR. Integrative analysis of cDNA microarray and interactome data are powerful tools for identifying target molecules that are involved in the aging process and modulated by CR. 
|mesh-terms=* Aging
* Animals
* Caloric Restriction
* Cells, Cultured
* Disease Models, Animal
* Energy Intake
* Gene Expression Regulation
* Lymphocyte Specific Protein Tyrosine Kinase p56(lck)
* Male
* Mice
* Mice, Inbred C57BL
* Oligonucleotide Array Sequence Analysis
* Oxidative Stress
* RNA
* Rats
* Rats, Inbred F344
* Real-Time Polymerase Chain Reaction

|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705109
}}
{{medline-entry
|title=Transcriptomic biomarkers of the response of hospitalized geriatric patients admitted with heart failure. Comparison to hospitalized geriatric patients with infectious diseases or hip fracture.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/21335025
|abstract=The abundance of a preselection of transcripts involved in inflammation, immunosenescence and stress response was compared between PBMC of healthy aged donors and aged patients in acute phase of heart failure and at recovery. This study identified 22 transcripts differentially abundant in acute phase of heart failure versus healthy aged subjects. Transcripts involved in inflammation and oxidative stress were more abundant. Those associated with T-cell functions were less abundant. The results were compared to two other major acute geriatric issues: infectious diseases and hip fracture. In acute phase, compared to healthy aged subjects, the abundance of 15/22 transcripts was also altered in both geriatric infectious diseases and hip fracture. Many variations had not vanished at the recovery phase. The abundance of [[CD28]], [[CD69]], [[LCK]], [[HMOX1]], [[TNFRSF1A]] transcripts, known to be altered in healthy aged versus healthy young subjects, was further affected in acute phase of the three geriatric diseases considered. The transcript levels of [[BCL2]], [[CASP8]], [[CCL5]], [[[[DDIT3]]]], [[EGR3]], [[IL10RB]], [[IL1R2]], [[SERPINB2]] and [[TIMP1]] were affected in all three pathological conditions compared to healthy aged, but not versus healthy young subjects. In conclusion, this work provides critical targets for therapeutic research on geriatric heart failure, infectious diseases and hip fracture.
|mesh-terms=* Adult
* Aged
* Aged, 80 and over
* Aging
* Biomarkers
* Communicable Diseases
* Female
* Heart Failure
* Hip Fractures
* Hospitalization
* Humans
* Male
* Neutrophils
* Transcription, Genetic

|full-text-url=https://sci-hub.do/10.1016/j.mad.2011.02.002
}}
{{medline-entry
|title=Differentially abundant transcripts in PBMC of hospitalized geriatric patients with hip fracture compared to healthy aged controls.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/21074600
|abstract=The abundance of a selection of transcript species involved in inflammation, immunosenescence and stress response was compared between PBMC of 35 geriatric patients with hip fracture in acute phase (days 2-4 after hospitalization) or convalescence phase (days 7-10) and 28 healthy aged controls. Twenty-nine differentially abundant transcripts were identified in acute phase versus healthy ageing. Twelve of these transcripts remained differentially abundant in convalescence phase, and 22 were similarly differentially abundant in acute phase of geriatric infectious diseases. Seven of these 22 transcripts were previously identified as differentially abundant in PBMC of healthy aged versus healthy young controls, with further alteration for [[CD28]], [[CD69]], [[LCK]], [[CTSD]], [[HMOX1]], and [[TNFRSF1A]] in acute phase after geriatric hip fracture and infectious diseases. The next question is whether these alterations are common to other geriatric diseases and/or preexist before the clinical onset of the diseases.
|mesh-terms=* Acute-Phase Reaction
* Adult
* Aged
* Aged, 80 and over
* Aging
* Antigens, CD
* Antigens, Differentiation, T-Lymphocyte
* Base Sequence
* CD28 Antigens
* Case-Control Studies
* Cathepsin D
* DNA Primers
* Female
* Gene Expression Profiling
* Heme Oxygenase-1
* Hip Fractures
* Hospitalization
* Humans
* Lectins, C-Type
* Leukocytes, Mononuclear
* Lymphocyte Specific Protein Tyrosine Kinase p56(lck)
* Male
* Receptors, Tumor Necrosis Factor, Type I

|full-text-url=https://sci-hub.do/10.1016/j.exger.2010.10.012
}}
{{medline-entry
|title=Transcriptomic biomarkers of human ageing in peripheral blood mononuclear cell total RNA.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/19995600
|abstract=Age-related changes of gene expression contribute to the physiological alteration observed with human ageing. Herein, the abundance of a selection of 148 transcripts involved in immunosenescence and stress response was compared in total RNA of PBMC of healthy young to middle-age probands (35.0  /- 6.5 year old) and healthy old probands (82.5  /- 6.8 year old). This study provides a list of 16 differentially abundant transcripts species in the healthy old probands. Thus, these changes of abundance can be considered as easily accessible biomarkers of ageing. Some of these differential abundances like [[CD28]], [[CD69]], [[LCK]] (decreased abundance in old subjects), [[CD86]], Cathepsin D, H and S (increased abundance in old subjects) might explain biochemical and cytochemical changes observed at the protein level in the immune system and thus might correspond to regulatory processes affecting the ageing process. Indeed these changes reflect the low-grade pro-inflammatory status observed in old persons and suggest a hypo-responsiveness of T-cells together with an increase in antigen presentation potential. In addition, among the differentially abundant transcripts were transcripts involved in the oxidative stress response [[HMOX1]] and [[HSPA6]] mRNAs were found as more abundant in PBMC from elderly subjects.
|mesh-terms=* Adult
* Aged
* Aged, 80 and over
* Aging
* Antigen Presentation
* Biomarkers
* Gene Expression Profiling
* Humans
* Leukocytes, Mononuclear
* Oligonucleotide Array Sequence Analysis
* Oxidative Stress
* RNA, Messenger

|full-text-url=https://sci-hub.do/10.1016/j.exger.2009.12.001
}}
{{medline-entry
|title=Structure, organization and expression of common carp (Cyprinus carpio L.) SLP-76 gene.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/18353678
|abstract=SLP-76 is an important member of the SLP-76 family of adapters, and it plays a key role in TCR signaling and T cell function. Partial cDNA sequence of SLP-76 of common carp (Cyprinus carpio L.) was isolated from thymus cDNA library by the method of suppression subtractive hybridization (SSH). Subsequently, the full length cDNA of carp SLP-76 was obtained by means of 3' RACE and 5' RACE, respectively. The full length cDNA of carp SLP-76 was 2007 bp, consisting of a 5'-terminal untranslated region (UTR) of 285 bp, a 3'-terminal UTR of 240 bp, and an open reading frame of 1482 bp. Sequence comparison showed that the deduced amino acid sequence of carp SLP-76 had an overall similarity of 34-73% to that of other species homologues, and it was composed of an NH2-terminal domain, a central proline-rich domain, and a C-terminal SH2 domain. Amino acid sequence analysis indicated the existence of a Gads binding site R-X-X-K, a 10-aa-long sequence which binds to the SH3 domain of [[LCK]] in vitro, and three conserved tyrosine-containing sequence in the NH2-terminal domain. Then we used PCR to obtain a genomic DNA which covers the entire coding region of carp SLP-76. In the 9.2k-long genomic sequence, twenty one exons and twenty introns were identified. RT-PCR results showed that carp SLP-76 was expressed predominantly in hematopoietic tissues, and was upregulated in thymus tissue of four-month carp compared to one-year old carp. RT-PCR and virtual northern hybridization results showed that carp SLP-76 was also upregulated in thymus tissue of GH transgenic carp at the age of four-months. These results suggest that the expression level of SLP-76 gene may be related to thymocyte development in teleosts.
|mesh-terms=* Adaptor Proteins, Signal Transducing
* Aging
* Amino Acid Sequence
* Animals
* Animals, Genetically Modified
* Base Sequence
* Carps
* Cloning, Molecular
* Fish Proteins
* Gene Expression Profiling
* Gene Expression Regulation
* Humans
* Molecular Sequence Data
* Phosphoproteins
* Phylogeny
* Sequence Alignment
* Thymus Gland

|full-text-url=https://sci-hub.do/10.1016/j.fsi.2007.10.011
}}