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Huang, Y.

Publications and source records attributed to Huang, Y..

At least 631 records · Page 35Linked to original sources

Prion-like characteristics of Hepatitis E virus ORF3 protein are associated with virus release and pathogenesis

Hepatitis E virus (HEV) is a common causative agent of acute hepatitis. Due to the shortage of efficient in vitro model, the viral assembly and release processes are still poorly understood. In this study, we found that ORF3, an HEV structural protein showed prion-like properties. The prion domain (PrD) of yeast prion Sup35 could be functionally replaced by HEV-ORF3 and its candidate PrD (cPrD). A single amino acid substitution in the cPrD reduced the aggregation propensity of ORF3 and blocked the function of ORF3 in enhancing the stability of microtubules in HEV-infected cells, thus blocking virion release from the infected cells and resulting in reduced HEV pathogenicity in Mongolian gerbils. These data suggest that HEV-ORF3 is a novel functional prion-like protein which assembles into a filamentous structure for virion release, supporting the hypothesis that the self-propagating properties of prion proteins are widely exploited as epigenetic information carriers in nature.

microbiology↗

Chromatin Remodeling Drives Immune-Fibroblast Crosstalk in Heart Failure Pathogenesis

Chronic inflammation and tissue fibrosis are common stress responses that worsen organ function, yet the molecular mechanisms governing their crosstalk are poorly understood. In diseased organs, stress-induced changes in gene expression fuel maladaptive cell state transitions and pathological interaction between diverse cellular compartments. Although chronic fibroblast activation worsens dysfunction of lung, liver, kidney, and heart, and exacerbates many cancers, the stress-sensing mechanisms initiating the transcriptional activation of fibroblasts are not well understood. Here, we show that conditional deletion of the transcription co-activator Brd4 in Cx3cr1-positive myeloid cells ameliorates heart failure and is associated with a dramatic reduction in fibroblast activation. Analysis of single-cell chromatin accessibility and BRD4 occupancy in vivo in Cx3cr1-positive cells identified a large enhancer proximal to Interleukin-1 beta (Il1b), and a series of CRISPR deletions revealed the precise stress-dependent regulatory element that controlled expression of Il1b in disease. Secreted IL1B functioned non-cell autonomously to activate a p65/RELA-dependent enhancer near the transcription factor MEOX1, resulting in a profibrotic response in human cardiac fibroblasts. In vivo, antibody-mediated IL1B neutralization prevented stress-induced expression of MEOX1, inhibited fibroblast activation, and improved cardiac function in heart failure. The elucidation of BRD4-dependent crosstalk between a specific immune cell subset and fibroblasts through IL1B provides new therapeutic strategies for heart disease and other disorders of chronic inflammation and maladaptive tissue remodeling.

molecular biology↗

Targeted cohesin loading characterizes the entry and exit sites of loop extrusion trajectories

The cohesin complex shapes chromosomes by DNA loop extrusion, but individual extrusion trajectories were so far unappreciable in vivo. Here, we developed and validated TArgeted Cohesin Loader (TACL), a system enabling the strong activation of anchored loop extrusion from dozens of defined genomic sites in living cells. Studying their individual loop extrusion trajectories revealed that extruding cohesinSTAG2 stops not only at domain boundaries but at all flanking CTCF sites, engaging them in a complex transient looping network that supports intradomain contacts. CohesinSTAG1 cannot associate with weak CTCF binding sites and fails to similarly support intradomain interactions. NIPBL-MAU2 remains associated with cohesin when stalled at looping CTCF sites, suggesting these factors may also be required for loop stabilization. TACL induces cohesin traffic jams and illegal loops with divergent CTCF sites, demonstrating that stalled cohesin can block extruding cohesin in vivo. Genes exposed to TACL-induced loop extrusion were collectively hindered in transcription and the underlying chromatin altered its accessibility and reduced its H3K27ac marks. Thus, by enabling the study of individual loop extrusion trajectories in vivo, we could assign new functions to players, identify new looping networks and uncover an interplay between loop extrusion, gene transcription and chromatin composition.

genomics↗

Abnormal expression of Prolyl oligopeptidase (POP) and its catalytic products Ac-SDKP contributes to the ovarian fibrosis change in Polycystic ovary syndrome (PCOS) mice

Polycystic ovary syndrome (PCOS) is an endocrine disorder and metabolic syndrome. Ovarian fibrosis pathological change in PCOS gradually attracted peoples attention. In this study, we constructed PCOS mice model through dehydroepiandrosterone. Sirius red staining showed that the ovarian tissues in PCOS mice had obvious fibrosis. Prolyl oligopeptidase(POP) is a serine protease and N-acetyl-Seryl-aspartyl-Lysyl-proline (Ac-SDKP) is its catalytic products. Studies show that abnormal expression and activity of POP and Ac-SDKP are closely related to tissue fibrosis. We found that the expression of POP and Ac-SDKP was decreased in ovaries of PCOS mice. Further studies showed that POP and Ac-SDKP promoted the expression of Matrix metalloproteinases 2 (MMP-2) expression and decreased the expression of transforming growth factor beta 1 (TGF-{beta}1) in granulosa cells. Hyperandrogenemia is a typical symptom of PCOS. We found that testosterone induced the low expression of POP and MMP2, and high expression of TGF-{beta}1 in granulosa cells. POP overexpression and Ac-SDKP treatment inhibited the effect of testosterone on TGF-{beta}1 and MMP2 in vitro and ovarian fibrosis in PCOS mice model. In conclusion, PCOS ovarian tissue showed obvious fibrosis. Low expression of POP, Ac-SDKP and changes in fibrotic factors contribute to the ovarian pathological fibrosis induced by androgen.

cell biology↗

Lipoprotein sorting to the cell surface via a crosstalk between the Lpt and Lol pathways during outer membrane biogenesis

Lipopolysaccharide (LPS) and lipoprotein, two essential components of the outer membrane (OM) in Gram-negative bacteria, play critical roles in bacterial physiology and pathogenicity. LPS translocation to the OM is mediated by LptDE, yet how lipoproteins sort to the cell surface remains elusive. Here we report the identification of an inventory of lipoproteins that are transported to the cell surface via LptDE. Notably, we determined crystal structures of LptDE from Pseudomonas aeruginosa and its complex with an endogenous Escherichia coli lipoprotein YifL. The paLptDE-YifL structure demonstrates that YifL translocates to the OM via LptDE, in a manner similar to LPS transport. The {beta}-barrel domain serves as a passage for the proteinaceous moiety while its acyl chains are transported outside. Our finding has been corroborated by results from native mass spectrometry, immunofluorescence, and photocrosslinking assays, revealing a unique mechanism through which lipoproteins are translocated across the OM in an ATP- and LPS-dependent manner. Moreover, our study expands the scope of current knowledge of lipoprotein sorting by disclosing a crosstalk between the Lpt and Lol pathways.

microbiology↗

PD-L1 regulates inflammatory macrophage development from human pluripotent stem cells by maintaining interferon-gamma signal

PD-L1 (programmed death-ligand 1) serves as a pivotal immune checkpoint in both the innate and adaptive immune systems. PD-L1 is expressed in macrophages in response to interferon-gamma (IFN{gamma}). We examined whether PD-L1 might regulate macrophage development. We established PD-L1-/- human pluripotent stem cells, differentiated them into macrophages, and observed a 60% reduction of CD11B+CD45+ macrophages in PD-L1-/-, orthogonally verified with PD-L1 inhibitor BMS-1166 reduced macrophages to the same fold. Single-cell RNA sequencing further confirmed the 60% reduction of macrophages as well as the down-regulation of macrophage-defining transcription factors SPI1, KLF6, and MAFB. Further, PD-L1-/- macrophages reduced the level of inflammatory signals such as NF{kappa}B, TNF, and chemokines CXCL and CCL families. Whilst anti-inflammatory TGF-{beta} was upregulated. Finally, we identified that PD-L1-/- macrophages significantly down-regulated interferon-stimulated genes (ISGs) despite IFN{gamma} in differentiation media. Mechanistically, PD-L1-/- macrophages reduced IFNGR1 expression explaining that cells could not respond to IFN{gamma}. These data suggest that PD-L1 regulates inflammatory macrophage development by maintaining the IFN{gamma} signal.

immunology↗

Identification of Barley Enhancers across Genome via STARR-seq

Enhancers are DNA sequences that can strengthen transcription initiation. However, the global identification of plant enhancers is complicated due to uncertainty in the distance and orientation of enhancers, especially in species with large genomes. In this study, we performed self-transcribing active regulatory region sequencing (STARR-seq) for the first time to identify enhancers across the barley genome. A total of 7323 enhancers were successfully identified, and among 45 randomly selected enhancers, over 75% were effective as validated by a dual-luciferase reporter assay system in the lower epidermis of tobacco leaves. Interestingly, up to 53.5% of the barley enhancers were repetitive sequences, especially transposable elements (TEs), thus reinforcing the vital role of repetitive enhancers in gene expression. Both the common active transcription marker H3K4me3 and repressive histone marker H3K27me3 were abundant among the barley STARR-seq enhancers. In addition, the functional range of barley STARR-seq enhancers seemed much broader than that of rice or maize and extended to {+/-} 100 KB of the gene body, and this finding was consistent with the high expression levels of genes in the genome. This work specifically depicts the unique features of barley enhancers and provides available barley enhancers for further utilization.

genomics↗

Effects of temperature on the development of Heliconius erato butterflies

O_LIAnthropogenic climate change is thought to present a significant threat to biodiversity, in particular to tropical ectotherms, and the effects of long-term developmental heat stress on this group have received relatively little research attention. C_LIO_LIHere we study the effects of experimentally raising developmental temperatures in a tropical butterfly. We measured survival, development time, adult body mass, and wing size of a neotropical butterfly, Heliconius erato demophoon, across three temperature treatments. C_LIO_LIEgg survival was lower in the hotter treatments, with 83%, 73%, and 49% of eggs eclosing in the 20-30{degrees}C, 23-33{degrees}C, and 26-36{degrees}C treatments, respectively. Larval survival was five times lower in the 26-36{degrees}C treatment (4%) compared to the 20-30{degrees}C treatment (22%), and we did not detect differences in pupal survival across treatments due to high mortality in earlier stages. C_LIO_LIAdults in the 20-30{degrees}C treatment had a lower body mass and larvae had a lower growth rate compared to the intermediate 23-33{degrees}C treatment, but were heavier than the few surviving adults in the 26-36{degrees}C treatment. Females were heavier and grew faster as larvae than males in the 23-33{degrees}C treatment, but there was no associated increase in wing size. C_LIO_LIIn summary, high developmental temperatures are particularly lethal for eggs and less so for larvae, and also affect adult morphology. This highlights the importance of understanding the effects of temperature variation across ontogeny in tropical ectotherms. C_LI

zoology↗

Mechanism of pH sensing in the human voltage-gated proton channel hHv1

The molecular mechanisms governing the human voltage-gated proton channel hHv1 remain elusive. Here we used membrane-enabled hybrid-solvent continuous constant pH molecular dynamics (CpHMD) simulations with pH replica exchange to further evaluate the recently obtained structural models of hHv1 in hyperpolarized (closed channel) and depolarized (open channel) states (Geragotelis, Tobias et al., Proc. Natl. Acad. Sci. USA 2020) and explore potential pH-sensing residues. The CpHMD titration at a set of symmetric pH conditions revealed three residues that can gain or lose protons upon channel depolarization. Among them residue H168 at the intracellular end of the S3 helix switches from the deprotonated to the protonated state and its protonation is correlated with the increased tilting of the S3 helix during the transition from the hyper-to the depolarized state. Thus, the simulation data suggest H168 as an interior pH sensor, in support of a recent finding based on electrophysiological experiments of Hv1 mutants (Cherny, DeCoursey et al., J. Gen. Physiol. 2018). Our work represents an important step towards deciphering the pH-dependent gating mechanism of hHv1. SIGNIFICANCEThe human voltage-gated proton channel hHv1 is comprised of a proton-selective voltage sensing domain and responsible for cellular pH homeostasis. Despite intense experimental and theoretical investigations, its pH-dependent gating mechanism is not understood. Our simulation data offer strong evidence supporting the role of H168 as a pHi sensor (Cherny, DeCoursey et al., J. Gen. Physiol. 2018). Deciphering the interior pH sensor moves us a step closer to elucidating the structure-function relationship of hHv1.

biophysics↗

H3.1Cys96 oxidation by mitochondrial ROS promotes chromatin remodeling, breast cancer progression to metastasis and multi-drug resistance

Transcription stability enforces cellular identity and is tightly controlled by restrictions imposed on both transcription factor function and target gene accessibility. Progression of cancer to metastasis and multi-drug resistance requires fluid transcriptional programs that can explore different genomic landscapes to enable clonal expansion of aggressive and treatment resistant phenotypes. Here, we show that increased levels of H2O2 produced in mitochondria leads to H3.1 oxidation at Cys96, a distinctive redox sensitive amino acid residue restricted to this histone variant, in the nucleus. The oxidation of Cys96 promotes the eviction of H3.1 from chromatin and its exchange with H3.3, thereby opening silenced portions of the chromatin. Mutation of Cys96 by an oxidation-resistant serine residue or quenching nuclear H2O2 reversed chemotherapy resistance and drove established metastatic disease into remission. Together, these results show that increased mitochondrial H2O2 production, characteristic of metabolic dysfunction, promotes transcriptional plasticity by removing structural chromatin restrictions imposed by the redox sensitive histone variant H3.1. We suggest that this new regulatory nexus between cancer metabolism and chromatin remodeling controls chromatin states that enable cancer progression and drug resistance acquisition.

cancer biology↗

Genetic estimates of the initial peopling of Polynesian islands actually reflect later inter-island contacts

The timing of the initial peopling of the Polynesian islands remains highly debated. Suggested dates are primarily based on archaeological evidence and differ by several hundred years. Ioannidis et al. [2021] used genome-wide data from 430 modern individuals from 21 Pacific islands to obtain genetic estimates. Their results supported late settlement dates, e.g. approximately 1200 CE for Rapa Nui. However, when investigating the underlying model we found that the genetic estimator used by Ioannidis et al. [2021] is biased to be about 300 years too old. Correcting for this bias gives genetic settlement dates that are more recent than any dates consistent with archaeological records, as radiocarbon dating of human-modified artifacts shows settlement definitively earlier than the bias-corrected genetic estimates. These too-recent estimates can only be explained by substantial gene flow between islands after their initial settlements. Therefore, contacts attested by archaeological and linguistic evidence [Kirch, 2021] must have been accompanied also by demographically significant movement of people. This gene flow well after the initial settlements was not modelled by Ioannidis et al. [2021] and challenges their interpretation that carving anthropomorphic stone statues was spread during initial settlements of islands. Instead, the distribution of this cultural practice likely reflects later inter-island exchanges, as suggested earlier [Kirch, 2017].

genetics↗

N6-methyladenosine (m6A) and reader protein YTHDF2 enhance innate immune response by mediating DUSP1 mRNA degradation and activating mitogen-activated protein kinases during bacterial and viral infections

Mitogen-activated protein kinases (MAPKs) play critical roles in the induction of numerous cytokines, chemokines, and inflammatory mediators that mobilize the immune system to counter pathogenic infections. Dual-specificity phosphatase-1 (DUSP1) is a member of dual-specificity phosphatases, which inactivates MAPKs through a negative feedback mechanism. Here we report that in response to viral and bacterial infections, not only DUSP1 transcript but also its N6-methyladenosine (m6A) level rapidly increase together with the m6A reader protein YTHDF2, resulting in enhanced YTHDF2-mediated DUSP1 transcript degradation. Knockdown of DUSP1 promotes p38 and JNK phosphorylation and activation, thus increasing the expression of innate immune response genes including IL1{beta}, CSF3, TGM2 and SRC. Similarly, knockdown of m6A eraser ALKBH5 increases DUSP1 transcript m6A level resulting in accelerated transcript degradation, activation of p38 and JNK, and enhanced expression of IL1{beta}, CSF3, TGM2 and SRC. These results demonstrate that m6A and reader protein YTHDF2 orchestrate optimal innate immune response during viral and bacterial infections by downregulating the expression of a negative regulator DUSP1 of the p38 and JNK pathways that are central to innate immune response against pathogenic infections. IMPORTANCEInnate immunity is central for controlling pathogenic infections and maintaining the homeostasis of the host. In this study, we have revealed a novel mechanism regulating innate immune response during viral and bacterial infections. We have found that N6-methyladenosine (m6A) and the reader protein YTHDF2 regulate dual-specificity phosphatase-1, a negative regulator of mitogen-activated protein kinases p38 and JNK, to maximize innate immune response during viral and bacterial infections. These results provide novel insights into the mechanism regulating innate immunity, which could help the development of novel approaches for controlling pathogenic infections.

microbiology↗

Robust and High-Throughput Analytical Flow Proteomics Analysis of Cynomolgus Monkey and Human Matrices with Zeno SWATH Data Independent Acquisition

Modern mass spectrometers routinely allow deep proteome coverage in a single experiment. These methods are typically operated at nano and micro flow regimes, but they often lack throughput and chromatographic robustness, which is critical for large-scale studies. In this context, we have developed, optimized and benchmarked LC-MS methods combining the robustness and throughput of analytical flow chromatography with the added sensitivity provided by the Zeno trap across a wide range of cynomolgus monkey and human matrices of interest for toxicological studies and clinical biomarker discovery. SWATH data independent acquisition (DIA) experiments with Zeno trap activated (Zeno SWATH DIA) provided a clear advantage over conventional SWATH DIA in all sample types tested with improved sensitivity, quantitative robustness and signal linearity as well as increased protein coverage by up to 9-fold. Using a 10-min gradient chromatography, up to 3,300 proteins were identified in tissues at 2 {micro}g peptide load. Importantly, the performance gains with Zeno SWATH translated into better biological pathway representation and improved the ability to identify dysregulated proteins and pathways associated with two metabolic diseases in human plasma. Finally, we demonstrate that this method is highly stable over time with the acquisition of reliable data over the injection of 1,000+ samples (14.2 days of uninterrupted acquisition) without the need for human intervention or normalization. Altogether, Zeno SWATH DIA methodology allows fast, sensitive and robust proteomic workflows using analytical flow and is amenable to large-scale studies. This work provides detailed method performance assessment on a variety of relevant biological matrices and serves as a valuable resource for the proteomics community.

biochemistry↗

Polyethylene glycol (PEG)-associated immunological effects triggered by clinically relevant lipid nanoparticles

With the large-scale vaccination of lipid nanoparticles (LNP)-based COVID-19 mRNA vaccines, elucidating the potential polyethylene glycol (PEG)-associated immune responses triggered by clinically relevant LNP has become imminent. However, inconsistent findings were observed across very limited population-based studies. Herein we initiated a study using LNP carrier of Comirnaty(R) as a representative, and simulated real-world clinical practice covering a series of time points and various doses correlated with approved LNP-delivered drugs in a rat model. We demonstrated the time- and dose-dependency of LNP-induced anti-PEG antibodies in rats. As a thymus-independent antigen, LNP unexpectedly induced isotype switch and immune memory, leading to rapid enhancement and longer lasting time of anti-PEG IgM and IgG upon re-injection in rats. Importantly, initial LNP injection accelerated the blood clearance of subsequent dosing in rats. These findings refine our understandings on LNP and possibly other PEG derivatives, and may promote optimization of related premarket guidelines and clinical protocols.

immunology↗

Structural and Computational Design of a SARS-CoV-2 Spike Antigen with Increased Receptor Binding Domain Exposure and Improved Immunogenicity

Emerging SARS-CoV-2 variants of concern challenge the efficacy of approved vaccines and emphasize the need for improved antigens. Using an evolutionary-based design approach starting from the widely used engineered Spike antigen, S-2P, we sought to increase antigen production levels and the exposure of highly conserved and neutralization sensitive receptor-binding domain (RBD) epitopes. Thirty-six prototypes were generated in silico, of which fifteen were produced and tested in biochemical assays. Design S2D14, which contains 20 mutations within the Spike S2 domain, showed a 6-fold increase in expression while preserving similar thermal stability and antigenicity as S-2P. Cryo-EM structures indicate that the dominant populations of S2D14 particles have RBDs in exposed states, and analysis of these structures revealed how modifications within the S2 domain balance trimer stability and RBD accessibility through formation and removal of hydrogen bonds and surface charge alterations. Importantly, vaccination of mice with adjuvanted S2D14 resulted in higher levels of neutralizing antibodies than adjuvanted S-2P against SARS-CoV-2 Wuhan strain and four variants of concern. These results can guide the design of next generation vaccines to combat current, and future coronaviruses and the approaches used may be broadly applicable to streamline the successful design of vaccine antigens.

immunology↗

Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariants

The SARS-CoV-2 Omicron variant continues to evolve, with new BQ and XBB subvariants now rapidly expanding in Europe/US and Asia, respectively. As these new subvariants have additional spike mutations, they may possess altered antibody evasion properties. Here, we report that neutralization of BQ.1, BQ.1.1, XBB, and XBB.1 by sera from vaccinees and infected persons was markedly impaired, including sera from individuals who were boosted with a WA1/BA.5 bivalent mRNA vaccine. Compared to the ancestral strain D614G, serum neutralizing titers against BQ and XBB subvariants were lower by 13-81-fold and 66-155-fold, respectively, far beyond what had been observed to date. A panel of monoclonal antibodies capable of neutralizing the original Omicron variant, including those with Emergency Use Authorization, were largely inactive against these new subvariants. The spike mutations that conferred antibody resistance were individually studied and structurally explained. Finally, the ACE2-binding affinities of the spike proteins of these novel subvariants were found to be similar to those of their predecessors. Taken together, our findings indicate that BQ and XBB subvariants present serious threats to the efficacy of current COVID-19 vaccines, render inactive all authorized monoclonal antibodies, and may have gained dominance in the population because of their advantage in evading antibodies.

microbiology↗

Human Early Syncytiotrophoblasts Are Highly Susceptible to SARS-CoV-2 Infection

The ongoing and devastating pandemic of coronavirus disease 2019 (COVID-19) has led to a global public health crisis. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and can potentially pose a serious risk to maternal and neonatal health. Cases of abnormal pregnancy and vertical transmission of SARS-CoV-2 from mother to foetus have been reported but no firm conclusions are drawn. Trophoblasts are the major constituents of the placenta to protect and nourish the developing foetus. However, direct in vivo investigation of trophoblasts susceptibility to SARS-CoV-2 and of COVID-19 and pregnancy is challenging. Here we report that human early syncytiotrophoblasts (eSTBs) are highly susceptible to SARS-CoV-2 infection in an angiotensin-converting enzyme 2 (ACE2)-dependent manner. From human expanded potential stem cells (hEPSCs), we derived bona fide trophoblast stem cells (TSCs) that resembled those originated from the blastocyst and the placenta in generating functional syncytiotrophoblasts (STBs) and extravillus trophoblasts (EVTs) and in low expression of HLA-A/B and amniotic epithelial (AME) cell signature. The EPSC-TSCs and their derivative trophoblasts including trophoblast organoids could be infected by SARS-CoV-2. Remarkably, eSTBs expressed high levels of ACE2 and produced substantially higher amounts of virion than Vero E6 cells which are widely used in SARS-CoV-2 research and vaccine production. These findings provide experimental evidence for the clinical observations that opportunistic SARS-CoV-2 infection during pregnancy can occur. At low concentrations, two well characterized antivirals, remdesivir and GC376, effectively eliminated infection of eSTBs by SARS-CoV-2 and middle east respiratory syndrome-related coronavirus (MERS-CoV), and rescued their developmental arrest caused by the virus infection. Several human cell lines have been used in coronavirus research. However, they suffer from genetic and/or innate immune defects and have some of the long-standing technical challenges such as cell transfection and genetic manipulation. In contrast, hEPSCs are normal human stem cells that are robust in culture, genetically stable and permit efficient gene-editing. They can produce and supply large amounts of physiologically relevant normal and genome-edited human cells such as eSTBs for isolation, propagation and production of coronaviruses for basic research, antivirus drug tests and safety evaluation.

cell biology↗

KBPRNA: A novel method integrating bulk RNA-seq data and LINCS-L1000 gene signatures to predict kinase activity based on machine learning

BackgroundKinases are a type of enzymes which can transfer phosphate groups from high-energy and phosphate-donating molecules to specific substrates. Kinase activities could be utilized to be represented as specific biomarkers of specific cancer types. Nowadays novel algorithms have already been developed to compute kinase activities from phosphorylated proteomics data. However, phosphorylated proteomics sequencing could be costly expensive and need valuable samples. Moreover,not methods which could achieve kinase activities from bulk RNA-sequence data have been developed. Here we propose KBPRNA, a general computational framework for extracting specific kinase activities from bulk RNA-sequencing data in cancer samples. KBPRNA also achieves better performance in predicting kinase activities from bulk RNA-sequence data under cancer conditions benchmarking against other models. ResultsIn this study, we used LINCS-L1000 dataset which was used to be reported as efficient gene signatures in defining bulk RNA-seq data as input dataset of KBPRNA. Also, we utilized eXtreme Gradient Boosting (XGboost) as the main algorithm to extract valuable information to predict kinase activities. This model outperforms other methods such as linear regression and random forest in predicting kinase activities from bulk RNA-seq data. KBPRNA integrated tissue samples coming from breast invasive carcinoma, hepatocellular carcinoma, lung squamous cell carcinoma, Glioblastoma multiforme and Uterine Corpus Endometrial Carcinoma. It was found that KBPRNA achieved good performance with an average R score above threshold of 0.5 in kinase activity prediction. ConclusionsModel training and testing process showed that KBPRNA outperformed other machine learning methods in predicting kinase activities coming from various cancer types tissue samples. This model could be utilized to approximate basic kinase activities and link it with specific biological functions, which in further promoted the progress of cancer identification and prognosis.

bioinformatics↗