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"systems biology"

These pubmed results were generated on 2021/01/30

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

42 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/30

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

40 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/29

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

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"systems biology"

These pubmed results were generated on 2021/01/28

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

34 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/27

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

85 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/26

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Sci Bull (Beijing). 2021 Jan 19. doi: 10.1016/j.scib.2021.01.010. Online ahead of print.

ABSTRACT

The pandemic of SARS-CoV-2 has caused a high number of deaths in the world. To combat it, it is necessary to develop a better understanding of how the virus infects host cells. Infection normally starts with the attachment of the virus to cell-surface glycans like heparan sulfate (HS) and sialic acid-containing glycolipids/glycoproteins. In this study, we examined and compared the binding of the subunits and spike (S) proteins of SARS-CoV-2 and SARS-CoV, MERS-CoV to these glycans. Our results revealed that the S proteins and subunits can bind to HS in a sulfation-dependent manner and no binding with sialic acid residues was detected. Overall, this work suggests that HS binding may be a general mechanism for the attachment of these coronaviruses to host cells, and supports the potential importance of HS in infection and in the development of antiviral agents against these viruses.

PMID:33495714 | PMC:PMC7816574 | DOI:10.1016/j.scib.2021.01.010

Human-dog relationships as a working framework for exploring human-robot attachment: a multidisciplinary review.

Anim Cogn. 2021 Jan 24;:

Authors: Krueger F, Mitchell KC, Deshpande G, Katz JS

Abstract
Robotic agents will be life-long companions of humans in the foreseeable future. To achieve such successful relationships, people will likely attribute emotions and personality, assign social competencies, and develop a long-lasting attachment to robots. However, without a clear theoretical framework-building on biological, psychological, and technological knowledge-current societal demands for establishing successful human-robot attachment (HRA) as a new form of inter-species interactions might fail. The study of evolutionarily adaptive animal behavior (i.e., ethology) suggests that human-animal behaviors can be considered as a plausible solution in designing and building models of ethorobots-including modeling the inter-species bond between domesticated animals and humans. Evidence shows that people assign emotional feelings and personality characteristics to animal species leading to cooperation and communication-crucial for designing social robots such as companion robots. Because dogs have excellent social skills with humans, current research applies human-dog relationships as a template to understand HRA. Our goal of this article is twofold. First, we overview the research on how human-dog interactions are implemented as prototypes of non-human social companions in HRA. Second, we review research about attitudes that humans have for interacting with robotic dogs based on their appearance and behavior, the implications for forming attachments, and human-animal interactions in the rising sphere of robot-assisted therapy. The rationale for this review is to provide a new perspective to facilitate future research among biologists, psychologists, and engineers-contributing to the creation of innovative research practices for studying social behaviors and its implications for society addressing HRA.

PMID: 33486634 [PubMed - as supplied by publisher]

NMR assignments of the macro domain from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Biomol NMR Assign. 2021 Jan 24;:

Authors: Lin MH, Huang YP, Chang CF, Hsu CH

Abstract
SARS-CoV-2 is a novel pathogen causing pneumonia named COVID-19 and leading to a severe pandemic since the end of 2019. The genome of SARS-CoV-2 contains a macro domain that may play an important role in regulating ADP-ribosylation in host cells and initiating viral replication. Here, we report the 1H, 13C, and 15N resonance assignments of the SARS-CoV-2 macro domain. This work provides the ground for further structural deciphering and biophysical investigation in protein function and antiviral agent design.

PMID: 33486617 [PubMed - as supplied by publisher]

Ancestral Sequence Reconstruction: From Chemical Paleogenetics to Maximum Likelihood Algorithms and Beyond.

J Mol Evol. 2021 Jan 24;:

Authors: Selberg AGA, Gaucher EA, Liberles DA

Abstract
As both a computational and an experimental endeavor, ancestral sequence reconstruction remains a timely and important technique. Modern approaches to conduct ancestral sequence reconstruction for proteins are built upon a conceptual framework from journal founder Emile Zuckerkandl. On top of this, work on maximum likelihood phylogenetics published in Journal of Molecular Evolution in 1996 was one of the first approaches for generating maximum likelihood ancestral sequences of proteins. From its computational history, future model development needs as well as potential applications in areas as diverse as computational systems biology, molecular community ecology, infectious disease therapeutics and other biomedical applications, and biotechnology are discussed. From its past in this journal, there is a bright future for ancestral sequence reconstruction in the field of evolutionary biology.

PMID: 33486547 [PubMed - as supplied by publisher]

Self-assembled Camptothecin derivatives - Curcuminoids conjugate for combinatorial chemo-photodynamic therapy to enhance anti-tumor efficacy.

J Photochem Photobiol B. 2021 Jan 13;215:112124

Authors: Guo Y, Liu H, Xiao H, Yuan M, Liu Y, Sedlařík V, Chin WC, Liu J, Guo L, Li C

Abstract
Camptothecin (CPT), an alkaloid, was first discovered from plants and has potent anti-tumor activity. Since then, CPT analogs (namely Irinotecan and Topotecan) have been approved by the FDA for cancer treatments. Curcumin, on the other hand, is a widely used photosensitizer in photodynamic therapy (PDT) treatment. In our previous work, we have reported a straightforward strategy to construct a drug self-delivery system in which two-molecular species Irinotecan and Curcumin can self-assembly into a complex of ion pairs, namely ICN, through intermolecular non-covalent interactions. We found that ICN has slightly better chemotherapy efficacy than its individual components with much fewer side effects. In this paper, we aim to combine the chemotherapy and the PDT of ICN to further improve its anti-tumor performance. The efficient cellular uptake of ICNs was observed by confocal microscopy. Dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay was used to detect the generation of singlet oxygen species. We found that the cell viability was 9% with both chemotherapy and PDT, and 31% with chemotherapy alone for the case with an ICN concentration of 10 μM, which demonstrated that the anti-tumor efficacy against the HT-29 cancer cell line was enhanced substantially with the combination therapy strategy. The study with an in vivo mouse model has further verified that the chemo-PDT dual therapy can inhibit tumor growth by 84% and 18.8% comparing with the control group and the chemotherapy group, respectively. Our results demonstrated that the new strategy using self-assembly and carrier-free nanoparticles with their chemo-PDT dual therapy may provide new opportunities to develop future combinatorial therapy methods in treating cancer.

PMID: 33486396 [PubMed - as supplied by publisher]

Herd manager attitudes and intentions regarding the selection of high-fertility EBV sires in Australia.

J Dairy Sci. 2021 Jan 20;:

Authors: Ooi E, Stevenson MA, Beggs DS, Mansell PD, Pryce JE, Murray A, Pyman MF

Abstract
Reproductive performance in dairy cattle has declined over the last 50 years as an unintended consequence of selection for high milk yield. Since the early 2000s, dairy geneticists have released successive versions of fertility estimated breeding values (EBV) to assist in reversing this trend. At the herd level, fertility EBV can help managers accelerate improvements in reproductive performance by acting as a second selection criteria when used in tandem with a breeding index. However, use of the fertility EBV in sire selection currently varies between herd managers. The aim of this study was to better understand the reasons why herd managers choose or do not choose to select high-fertility EBV sires, using the Theory of Planned Behavior (TPB) as a social research framework. Thirty-five Victorian dairy herd managers were recruited as part of a larger study investigating the daughter fertility Australian Breeding Value and interviewed using a series of questions examining TPB constructs. The interviews were recorded and transcribed using template analysis. A wide range of herd manager types were enrolled into the study, with representation from diverse systems. Out of the 35 herd managers, 27 included fertility in their list of high-priority breeding objectives. A wide variation in results was consistent with previous studies that have demonstrated marked heterogeneity in herd manager attitudes toward bull selection. Herd manager-perceived barriers to selection of sires with high daughter fertility EBV included a lack of high daughter fertility bulls with other desirable traits, a lack of trust in the fertility EBV or in the Australian EBV system, difficulty in interpreting international proofs, information overload, semen prices, low bull reliability, and difficulty in understanding bull catalogs. Not all herd managers found the process problematic, however, particularly if a breeding consultant was employed to select all or most of the sires. Herd manager-perceived barriers for choosing to select daughter fertility as a breeding objective include a lack of awareness of the EBV, a lack of interest in genetics in general, low confidence in the impact of genetic selection for fertility, and a feeling that fertility was not important for their production system. The results of this study suggest that animal geneticists and on-farm service providers need to work together to allow the opportunities arising from appropriate use of fertility EBV to be realized more broadly across the dairy industry.

PMID: 33485678 [PubMed - as supplied by publisher]

Autophagy proteins and its homeostasis in cellular environment.

Adv Protein Chem Struct Biol. 2021;123:73-93

Authors: Guhe V, Soni B, Ingale P, Singh S

Abstract
Autophagy is a self-destructing mechanism of cell via lysosomal degradation, which helps to degrade/destroy hazardous substances, proteins, degenerating organelles and recycling nutrients. It plays an important role is cellular homeostasis and regulates internal environment of cell, moreover, when needed causes non-apoptotic programmed death of cell. Autophagy has been observed as one of the major factors in parasite clearance in leishmaniasis. Being an intra-cellular pathogen, the cell mediated response is the only alternative for adaptive immunity against Leishmania in host. Pro-inflammatory cytokines IL12 and TNFα generate Th2 response which helps in active phagocytosis of parasite whereas an anti-inflammatory cytokine like IL10 mediate parasite promotion by blocking autophagic pathways and inhibiting phagocytic actions. In the present chapter, through systems biology approach, we are trying to decipher the role of pro-inflammatory and anti-inflammatory cytokine in autophagy during leishmanial infection. TLR2/6 mediated signaling stimulated by LPG produces many pro-inflammatory cytokines like IL12, TNFα and IL6 etc. Among them TNFα, causes the activation of PI3P through a series of events, which results in activation of autophagic machinery, whereas, IL10 through ATG9 and mTOR activation, inhibits autophagy. The mathematical modeling of these pathways shows that, ATG9-PI3P act as a negative feedback loop in autophagic machinery of leishmaniasis.

PMID: 33485489 [PubMed - in process]

Cancer bioenergetics as emerging holistic cancer theory: the role of metabolic fluxes and transport proteins involved in metabolic pathways in the pathogenesis of malignancies. State-of-the-art and future prospects.

Adv Protein Chem Struct Biol. 2021;123:27-47

Authors: Bragazzi NL, Sellami M

Abstract
Cancer represents a global health concern, imposing a severe burden both from a societal and clinical perspective. Despite the latest advancements and achievements in the treatment and management of malignancy, cancer still imposes a dramatically high burden worldwide. Different theories (biophysical or biochemical, genetic or epigenetic) related to the origin of tumor cells have been put forth. These theories can also be subdivided into reductionist and emergentist/holistic theories. In the current overview, we will focus only on the cancer metabolic theory, one of the emergentist/holistic theories: it is holistic in that maintains that pathways, cascades and networks controlling energy metabolism, as well as those devoted to cell growth, cell cycle, replication, division and other cellular processes are highly interwoven and interconnected, and cannot be understood if not assuming a systems biology perspective. Cells should be seen as metabolic factories, in which metabolic fluxes and circuits (anabolic and catabolic) are plastically re-wired on the basis of the internal/external stimuli (cell make-up and genetic determinants, micro-environment, etc.). Complex regulatory and meta-regulatory systems exist that finely tune the functioning of cell, cell-cell communication and its interaction with the surrounding environment. At the tissue level, not all tissues share the same degree of metabolic plasticity (metabolic rigidity vs. metabolic flexibility), even though some metabolic coupling systems exist in order to guarantee an overall minimum extent of metabolic plasticity. The same broad picture of molecular events is necessary when describing the impairment and dysregulation of these processes, leading to multi-stage phenomena, including carcinogenesis.

PMID: 33485487 [PubMed - in process]

15 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/24

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

15 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/24

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

62 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/23

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

36 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/22

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

43 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/21

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

46 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results:

"systems biology"

These pubmed results were generated on 2021/01/20

PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.