146 research outputs found
More on Descriptive Complexity of Second-Order HORN Logics
This paper concerns Gradel's question asked in 1992: whether all problems
which are in PTIME and closed under substructures are definable in second-order
HORN logic SO-HORN. We introduce revisions of SO-HORN and DATALOG by adding
first-order universal quantifiers over the second-order atoms in the bodies of
HORN clauses and DATALOG rules. We show that both logics are as expressive as
FO(LFP), the least fixed point logic. We also prove that FO(LFP) can not define
all of the problems that are in PTIME and closed under substructures. As a
corollary, we answer Gradel's question negatively
Capturing the polynomial hierarchy by second-order revised Krom logic
We study the expressive power and complexity of second-order revised Krom
logic (SO-KROM). On ordered finite structures, we show that its
existential fragment -KROM equals -KROM, and
captures NL. On all finite structures, for , we show that
equals -KROM if is even, and
equals -KROM if is odd. The result gives an alternative
logic to capture the polynomial hierarchy. We also introduce an extended
version of second-order Krom logic (SO-EKROM). On ordered finite structures, we
prove that SO-EKROM collapses to -EKROM and equals . Both
of SO-EKROM and -EKROM capture co-NP on ordered finite structures
Capturing the polynomial hierarchy by second-order revised Krom logic
We study the expressive power and complexity of second-order revised Krom
logic (SO-KROM). On ordered finite structures, we show that its
existential fragment -KROM equals -KROM, and
captures NL. On all finite structures, for , we show that
equals -KROM if is even, and
equals -KROM if is odd. The result gives an alternative
logic to capture the polynomial hierarchy. We also introduce an extended
version of second-order Krom logic (SO-EKROM). On ordered finite structures, we
prove that SO-EKROM collapses to -EKROM and equals . Both
SO-EKROM and -EKROM capture co-NP on ordered finite structures
A Generalized Packing Server for Scheduling Task Graphs on Multiple Resources
This paper presents the generalized packing server. It reduces the problem of scheduling tasks with precedence constraints on multiple processing units to the problem of scheduling independent tasks. The work generalizes our previous contribution made in the specific context of scheduling Map/Reduce workflows. The results apply to the generalized parallel task model, introduced in recent literature to denote tasks described by workflow graphs, where some subtasks may be executed in parallel subject to precedence constraints. Recent literature developed schedulability bounds for the generalized parallel tasks on multiprocessors. The generalized packing server, described in this paper, is a run-time mechanism that packs tasks into server budgets (in a manner that respects precedence constraints) allowing the budgets to be viewed as independent tasks by the underlying scheduler. Consequently, any schedulability results derived for the independent task model on multiprocessors become applicable to generalized parallel tasks. The catch is that the sum of capacities of server budgets exceeds by a certain ratio the sum of execution times of the original generalized parallel tasks. Hence, a scaling factor is derived that converts bounds for independent tasks into corresponding bounds for generalized parallel tasks. The factor applies to any work-conserving scheduling policy in both the global and partitioned multiprocessor scheduling models. We show that the new schedulability bounds obtained for the generalized parallel task model, using the aforementioned conversion, improve in several cases upon the best known bounds in current literature. Hence, the packing server is shown to improve the schedulability of generalized parallel tasks. Evaluation results confirm this observation.Ope
ΠΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° ΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΡ Π°Π΄Π΅Π½ΠΎΠΌ Π³ΠΈΠΏΠΎΡΠΈΠ·Π°
Pituitary adenomas are among the most common primary intracranial tumours. They are predominantly benign and account for 10β15 % of all intracranial neoplasms. These tumours are divided into two subgroups: macroadenomas (> 1 cm) and microadenomas (<1 cm). About 30% of pituitary adenomas do not produce hormones. In other cases tumours can produce any of the hormones of the anterior pituitary gland and thus cause endocrine disorders. Compression of the pituitary gland, adjacent cranial nerves and brain structures can lead to gland failure, cranial nerve deficit and other neurological disorders. Visual impairment, usually with bitemporal hemianopia, is one of the most common primary symptoms. Diagnosis of the disease requires an interdisciplinary approach. Transnasal transsphenoidal resection is indicated for all patients with symptomatic pituitary adenomas except prolactinomas. Prolactinomas respond very well to treatment with dopamine agonists. In cases of pituitary insufficiency a timely start of adequate hormone replacement therapy is important. Long-term follow-up is an integral part of the treatment concept. In this review we examine the current diagnostic criteria and treatment methods for various forms of pituitary adenomas.ΠΠ΄Π΅Π½ΠΎΠΌΡ Π³ΠΈΠΏΠΎΡΠΈΠ·Π° ΡΠ²Π»ΡΡΡΡΡ ΠΎΠ΄Π½ΠΈΠΌΠΈ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ
Π²Π½ΡΡΡΠΈΡΠ΅ΡΠ΅ΠΏΠ½ΡΡ
ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ.ΠΠ±ΡΡΠ½ΠΎ Π΄ΠΎΠ±ΡΠΎΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠ΅, Π½Π° ΠΈΡ
Π΄ΠΎΠ»Ρ ΠΏΡΠΈΡ
ΠΎΠ΄ΠΈΡΡΡ 10β15 % Π²ΡΠ΅Ρ
Π²Π½ΡΡΡΠΈΡΠ΅ΡΠ΅ΠΏΠ½ΡΡ
Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠΎΠ΄ΡΠ°Π·Π΄Π΅Π»ΡΡΡΡΡ Π½Π° 2 ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΡ: ΠΌΠ°ΠΊΡΠΎΠ°Π΄Π΅Π½ΠΎΠΌΡ (>1 ΡΠΌ) ΠΈ ΠΌΠΈΠΊΡΠΎΠ°Π΄Π΅Π½ΠΎΠΌΡ (<1 ΡΠΌ). ΠΠΊΠΎΠ»ΠΎ 30 % Π°Π΄Π΅Π½ΠΎΠΌ Π³ΠΈΠΏΠΎΡΠΈΠ·Π° Π½Π΅ ΠΏΡΠΎΠ΄ΡΡΠΈΡΡΡΡ Π³ΠΎΡΠΌΠΎΠ½Ρ. Π ΠΎΡΡΠ°Π»ΡΠ½ΡΡ
ΡΠ»ΡΡΠ°ΡΡ
ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ ΠΌΠΎΠ³ΡΡ ΠΏΡΠΎΠ΄ΡΡΠΈΡΠΎΠ²Π°ΡΡ Π²ΡΠ΅ Π³ΠΎΡΠΌΠΎΠ½Ρ ΠΏΠ΅ΡΠ΅Π΄Π½Π΅ΠΉ Π΄ΠΎΠ»ΠΈ Π³ΠΈΠΏΠΎΡΠΈΠ·Π° ΠΈ ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ Π²ΡΠ·ΡΠ²Π°ΡΡ ΡΠ½Π΄ΠΎΠΊΡΠΈΠ½Π½ΡΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ. Π‘ΠΆΠ°ΡΠΈΠ΅ Π³ΠΈΠΏΠΎΡΠΈΠ·Π°, ΡΠΌΠ΅ΠΆΠ½ΡΡ
ΡΠ΅ΡΠ΅ΠΏΠ½ΡΡ
Π½Π΅ΡΠ²ΠΎΠ² ΠΈ ΡΡΡΡΠΊΡΡΡ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΠΌΠΎΠΆΠ΅Ρ ΠΏΡΠΈΠ²Π΅ΡΡΠΈ ΠΊ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ°ΠΌΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ, Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ΅ΡΠ΅ΠΏΠ½ΡΡ
Π½Π΅ΡΠ²ΠΎΠ² ΠΈ Π΄ΡΡΠ³ΠΈΠΌ Π½Π΅Π²ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΡΠ°ΡΡΡΡΠΎΠΉΡΡΠ²Π°ΠΌ. ΠΠ°ΡΡΡΠ΅Π½ΠΈΡ Π·ΡΠ΅Π½ΠΈΡ, ΠΊΠ°ΠΊ ΠΏΡΠ°Π²ΠΈΠ»ΠΎ, Ρ Π±ΠΈΡΠ΅ΠΌΠΏΠΎΡΠ°Π»ΡΠ½ΠΎΠΉ Π³Π΅ΠΌΠΈΠ°Π½ΠΎΠΏΡΠΈΠ΅ΠΉ, ΡΠ²Π»ΡΡΡΡΡ ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ
ΡΠΈΠΌΠΏΡΠΎΠΌΠΎΠ². ΠΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠ° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΌΠ΅ΠΆΠ΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π°. ΠΠ° ΠΈΡΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΏΡΠΎΠ»Π°ΠΊΡΠΈΠ½ΠΎΠΌ, ΡΡΠ°Π½ΡΠ½Π°Π·Π°Π»ΡΠ½Π°Ρ ΡΡΠ°Π½ΡΡΡΠ΅Π½ΠΎΠΈΠ΄Π°Π»ΡΠ½Π°Ρ ΡΠ΅Π·Π΅ΠΊΡΠΈΡ ΡΡΠ΅Π±ΡΠ΅ΡΡΡ ΠΏΡΠΈ Π²ΡΠ΅Ρ
ΡΠΈΠΌΠΏΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π°Π΄Π΅Π½ΠΎΠΌΠ°Ρ
Π³ΠΈΠΏΠΎΡΠΈΠ·Π°. ΠΡΠΎΠ»Π°ΠΊΡΠΈΠ½ΠΎΠΌΡ ΠΎΡΠ΅Π½Ρ Ρ
ΠΎΡΠΎΡΠΎ ΠΏΠΎΠ΄Π΄Π°ΡΡΡΡ Π»Π΅ΡΠ΅Π½ΠΈΡ Π°Π³ΠΎΠ½ΠΈΡΡΠ°ΠΌΠΈ Π΄ΠΎΡΠ°ΠΌΠΈΠ½Π°. Π ΡΠ»ΡΡΠ°Π΅ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΡΡΠΈ Π³ΠΈΠΏΠΎΡΠΈΠ·Π° Π½Π°ΡΠ°Π»ΠΎ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΠΉ Π·Π°ΠΌΠ΅Π½Ρ Π³ΠΎΡΠΌΠΎΠ½ΠΎΠ² ΠΈΠΌΠ΅Π΅Ρ Π±ΠΎΠ»ΡΡΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅. ΠΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΠΎΠ΅ Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΠ΅ ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅ΠΎΡΡΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ ΡΠ°ΡΡΡΡ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ. Π Π΄Π°Π½Π½ΠΎΠΌ ΠΎΠ±Π·ΠΎΡΠ΅ ΠΌΡ ΡΠ°ΡΡΠΌΠΎΡΡΠΈΠΌ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΎΡΠΌ Π°Π΄Π΅Π½ΠΎΠΌ Π³ΠΈΠΏΠΎΡΠΈΠ·Π° ΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈΡ
ΡΠ΅ΡΠ°ΠΏΠΈΠΈ
Mast Cells Modulate Acute Toxoplasmosis in Murine Models
The role of mast cells (MCs) in Toxoplasma gondii infection is poorly known. Kunming outbred mice were infected intraperitoneally with RH strain T. gondii, either treated with compound 48/80 (C48/80, MC activator) or disodium cromoglycate (DSCG, MC inhibitor). Compared with infected controls, infected mice treated with C48/80 exhibited significantly increased inflammation in the liver (P \u3c 0.01), spleen (P \u3c 0.05), and mesentery (P \u3c 0.05) tissues, higher parasite burden in the peritoneal lavage fluids (P \u3c 0.01), and increased levels of mRNA transcripts of T. gondii tachyzoite surface antigen 1 (SAG1) gene in the spleen and liver tissues (P \u3c 0.01), accompanied with significantly increased Th1 cytokine (IFN-Ξ³, IL-12p40, and TNF-Ξ±) (P \u3c 0.01) and decreased IL-10 (P \u3c 0.01) mRNA expressions in the liver, and increased IFN-Ξ³ (P \u3c 0.01) and IL-12p40 (P \u3c 0.01) but decreased TNF-Ξ± (P \u3c 0.01) and IL-4 (P \u3c 0.01) in the spleens of infected mice treated with C48/80 at day 9-10 p.i. Whereas mice treated with DSCG had significantly decreased tissue lesions (P \u3c 0.01), lower parasite burden in the peritoneal lavage fluids (P \u3c 0.01) and decreased SAG1 expressions in the spleen and liver tissues (P \u3c 0.01), accompanied with significantly increased IFN-Ξ³ (P \u3c 0.01) and IL-12p40 (P \u3c 0.05) in the liver, and decreased IFN-Ξ³ (P \u3c 0.05) and TNF-Ξ± (P \u3c 0.01) in the spleens; IL-4 and IL-10 expressions in both the spleen and liver were significantly increased (P \u3c 0.01) in the infected mice treated with DSCG. These findings suggest that mediators associated with the MC activation may play an important role in modulating acute inflammatory pathogenesis and parasite clearance during T. gondii infection in this strain of mice. Thus, MC activation/inhibition mechanisms are potential novel targets for the prevention and control of T. gondii infection
ΠΠΊΠ·ΠΎΡΠΎΠΌΠ°Π»ΡΠ½ΡΠ΅ Π΄Π»ΠΈΠ½Π½ΡΠ΅ Π½Π΅ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΠ΅ Π ΠΠ ΠΊΠ°ΠΊ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΡ ΠΈ ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠΈΡΠ΅Π½ΠΈ ΠΏΡΠΈ ΡΠ°ΠΊΠ΅
Extensive study of extracellular vesicles began about ten years ago. Exosomes are extracellular membrane vesicles 30β100 nm in diameter secreted by various types of cells and present in most biological fluids. For a long time they were considered non-functional cellular components. However, it has been proven that they serve as a means of intercellular exchange of information. They can move bioactive molecules such as proteins, lipids, RNA, and DNA. Several studies have shown that their contents, including proteins and non-coding nucleic acids, may be of particular interest as biomarkers of diseases. The most promising of all these molecules are non-coding RNAs (ncRNAs), including microRNAs and long non-coding RNAs (lncRNAs). LncRNAs are a large group of non-coding RNAs (ncRNAs) longer than 200 nucleotides. As regulatory factors lncRNAs play an important role in complex cellular processes, such as apoptosis, growth, differentiation, proliferation, etc. Despite many advances in diagnosis and treatment (surgery, radiation therapy, chemotherapy), cancer remains one of the most important public healthcare problems worldwide. Every day brings a better understanding of the role of exosomes in the development of cancer and metastases. Liquid biopsy has been developed as a method for the detection of cancer at an early stage. This is a series of minimally invasive tests of bodily fluids offering the advantage of real-time tracking of the tumour development. In fact, circulating exosomal lncRNAs have been found to be closely linked to processes of oncogenesis, metastasis and treatment. In this paper we review current studies into the functional role of exosomal lncRNAs in cancer and discuss their potential clinical use as diagnostic biomarkers and therapeutic targets for cancer.ΠΠ±ΡΠΈΡΠ½ΠΎΠ΅ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ Π²Π½Π΅ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
Π²Π΅Π·ΠΈΠΊΡΠ» Π½Π°ΡΠ°Π»ΠΎΡΡ ΠΏΡΠΈΠΌΠ΅ΡΠ½ΠΎ Π΄Π΅ΡΡΡΡ Π»Π΅Ρ Π½Π°Π·Π°Π΄. ΠΠΊΠ·ΠΎΡΠΎΠΌΡ β ΡΡΠΎ Π²Π½Π΅ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠ΅ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π½ΡΠ΅ Π²Π΅Π·ΠΈΠΊΡΠ»Ρ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠΎΠΌ 30β100 Π½ΠΌ, ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠ΅ΠΊΡΠ΅ΡΠΈΡΡΡΡΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΠΈΠΏΠ°ΠΌΠΈ ΠΊΠ»Π΅ΡΠΎΠΊ ΠΈ ΠΏΡΠΈΡΡΡΡΡΠ²ΡΡΡ Π² Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΆΠΈΠ΄ΠΊΠΎΡΡΠ΅ΠΉ. ΠΠΎΠ»Π³ΠΎΠ΅ Π²ΡΠ΅ΠΌΡ ΡΡΠΈΡΠ°Π»ΠΈΡΡ Π½Π΅ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌΠΈ ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΠΌΠΈ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ°ΠΌΠΈ, Π° Π½Π° ΡΠ΅Π³ΠΎΠ΄Π½ΡΡΠ½ΠΈΠΉ Π΄Π΅Π½Ρ ΡΠΆΠ΅ Π΄ΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠ²Π»ΡΡΡΡΡ ΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΌΠ΅ΠΆΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΌΠ΅Π½Π° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ΅ΠΉ. ΠΠ½ΠΈ ΠΌΠΎΠ³ΡΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ°ΡΡ Π±ΠΈΠΎΠ°ΠΊΡΠΈΠ²Π½ΡΠ΅ ΠΌΠΎΠ»Π΅ΠΊΡΠ»Ρ, ΡΠ°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ Π±Π΅Π»ΠΊΠΈ, Π»ΠΈΠΏΠΈΠ΄Ρ, Π ΠΠ ΠΈ ΠΠΠ. ΠΠ΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ ΠΈΡ
ΡΠΎΠ΄Π΅ΡΠΆΠΈΠΌΠΎΠ΅, Π²ΠΊΠ»ΡΡΠ°Ρ Π±Π΅Π»ΠΊΠΈ ΠΈ Π½Π΅ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΠ΅ Π½ΡΠΊΠ»Π΅ΠΈΠ½ΠΎΠ²ΡΠ΅ ΠΊΠΈΡΠ»ΠΎΡΡ, ΠΌΠΎΠ³ΡΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΠΎΡΠΎΠ±ΡΠΉ ΠΈΠ½ΡΠ΅ΡΠ΅Ρ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. ΠΠ· ΡΡΠΈΡ
ΠΌΠΎΠ»Π΅ΠΊΡΠ» Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΡΠ²Π»ΡΡΡΡΡ Π½Π΅ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΠ΅ Π ΠΠ (Π½ΠΊΠ ΠΠ), Π²ΠΊΠ»ΡΡΠ°Ρ ΠΌΠΈΠΊΡΠΎΠ ΠΠ ΠΈ Π΄Π»ΠΈΠ½Π½ΡΠ΅ Π½Π΅ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΠ΅ Π ΠΠ (lncRNA). LncRNAs ΡΠ²Π»ΡΡΡΡΡ Π±ΠΎΠ»ΡΡΠΎΠΉ Π³ΡΡΠΏΠΏΠΎΠΉ Π½Π΅ΠΊΠΎΠ΄ΠΈΡΡΡΡΠΈΡ
Π ΠΠ (ncRNAs) Π΄Π»ΠΈΠ½ΠΎΠΉ Π±ΠΎΠ»Π΅Π΅ 200 Π½ΡΠΊΠ»Π΅ΠΎΡΠΈΠ΄ΠΎΠ². LncRNAs ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡΡ ΡΠ΅Π³ΡΠ»ΡΡΠΈΠΈ ΠΈΠ³ΡΠ°ΡΡ Π²Π°ΠΆΠ½ΡΡ ΡΠΎΠ»Ρ Π² ΡΠ»ΠΎΠΆΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ
, ΡΠ°ΠΊΠΈΡ
ΠΊΠ°ΠΊ Π°ΠΏΠΎΠΏΡΠΎΠ·, ΡΠΎΡΡ, Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²ΠΊΠ°, ΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΡ ΠΈ Ρ. Π΄. ΠΠ΅ΡΠΌΠΎΡΡΡ Π½Π° ΠΌΠ½ΠΎΠ³ΠΈΠ΅ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ ΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ (Ρ
ΠΈΡΡΡΠ³ΠΈΡ, Π»ΡΡΠ΅Π²Π°Ρ ΡΠ΅ΡΠ°ΠΏΠΈΡ, Ρ
ΠΈΠΌΠΈΠΎΡΠ΅ΡΠ°ΠΏΠΈΡ), ΡΠ°ΠΊ ΠΏΠΎ-ΠΏΡΠ΅ΠΆΠ½Π΅ΠΌΡ ΠΎΡΡΠ°Π΅ΡΡΡ ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π°ΠΆΠ½ΡΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΡ Π²ΠΎ Π²ΡΠ΅ΠΌ ΠΌΠΈΡΠ΅. Π‘ ΠΊΠ°ΠΆΠ΄ΡΠΌ Π΄Π½Π΅ΠΌ Π²ΡΠ΅ Π»ΡΡΡΠ΅ ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΡΡΡ ΡΠΎΠ»Ρ ΡΠΊΠ·ΠΎΡΠΎΠΌ Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΡΠ°ΠΊΠ° ΠΈ ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ. ΠΠΈΠ΄ΠΊΠΎΡΡΠ½Π°Ρ Π±ΠΈΠΎΠΏΡΠΈΡ Π±ΡΠ»Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° Π΄Π»Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΡΠ°ΠΊΠ° Π½Π° ΡΠ°Π½Π½Π΅ΠΉ ΡΡΠ°Π΄ΠΈΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΡΡ
ΠΈ ΡΠ΅ΡΠΈΠΉΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΆΠΈΠ΄ΠΊΠΎΡΡΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠ° Ρ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²ΠΎΠΌ ΠΎΡΡΠ»Π΅ΠΆΠΈΠ²Π°Π½ΠΈΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΠΏΡΡ
ΠΎΠ»ΠΈ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ. Π€Π°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ Π±ΡΠ»ΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Ρ ΡΠΈΡΠΊΡΠ»ΠΈΡΡΡΡΠΈΠ΅ lncRNAs Π² ΡΠΊΠ·ΠΎΡΠΎΠΌΠ°Ρ
, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ΄ΠΈΠ»ΠΈ, ΡΡΠΎ ΠΎΠ½ΠΈ ΡΠ΅ΡΠ½ΠΎ ΡΠ²ΡΠ·Π°Π½Ρ Ρ ΠΎΠ½ΠΊΠΎΠ³Π΅Π½Π΅Π·ΠΎΠΌ, ΠΌΠ΅ΡΠ°ΡΡΠ°Π·ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈ ΡΠ΅ΡΠ°ΠΏΠΈΠ΅ΠΉ. Π ΡΡΠΎΠΌ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Π΅ ΠΌΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΠΌ ΠΎΠ±Π·ΠΎΡ ΡΠ΅ΠΊΡΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΎΠ»ΠΈ ΡΠΊΠ·ΠΎΡΠΎΠΌΠ°Π»ΡΠ½ΡΡ
lncRNAs ΠΏΡΠΈ ΡΠ°ΠΊΠ΅ ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΠΌ ΠΈΡ
ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² ΠΈ ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΈΡΠ΅Π½Π΅ΠΉ Π΄Π»Ρ ΡΠ°ΠΊΠ°
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