Biology subjects

Chen, Q.

Publications and source records attributed to Chen, Q..

At least 343 records · Page 19Linked to original sources

bioRxiv2021

The genome of an apodid holothuroid (Chiridota heheva) provides insights into its adaptation to deep-sea reducing environment

Cold seeps and hydrothermal vents are deep-sea reducing environments that are characterized by a lack of oxygen, photosynthesis-derived nutrients and a high concentration of reducing chemicals. Apodida is an order of deep-sea echinoderms lacking tube feet and complex respiratory trees, which are commonly found in holothurians. Chiridota heheva Pawson & Vance, 2004 (Apodida: Chiridotidae) is one of the few echinoderms that resides in deep-sea reducing environments. Unlike most cold seep and hydrothermal vent-dwelling animals, C. heheva does not survive by maintaining an epi- or endosymbiotic relationship with chemosynthetic microorganisms. The species acquires nutrients by extracting organic components from sediment detritus and suspended material. Here, we report a high-quality genome of C. heheva as a genomic reference for echinoderm adaptation to reducing environments. Chiridota heheva likely colonized its current habitats in the early Miocene. The expansion of the aerolysin-like protein family in C. heheva compared with other echinoderms might be involved in the disintegration of microbes during digestion, which in turn facilitates the species adaptation to cold seep environments. Moreover, several hypoxia-related genes were subject to positive selection in the genome of C. heheva, which contributes to their adaptation to hypoxic environments.

genomics↗

bioRxiv2021

Rapamycin attenuated zinc-induced tau phosphorylation and oxidative stress in animal model: Involvement of dual mTOR/p70S6K and Nrf2/HO-1 pathways

Alzheimers disease is pathologically featured by abnormal accumulation of amyloid-beta plaque, neurofibrillary tangles, oxidative stress, neuroinflammation, and neurodegeneration. Metal dysregulation including excessive zinc released by presynaptic neurons plays an important role in tau pathology and oxidase activation. The activities of mammalian target of rapamycin (mTOR)/ ribosomal S6 protein kinase (p70S6K) are elevated in the brains of patients with Alzheimers disease. Zinc induces tau hyperphosphorylation via mTOR/P70S6K activation in vitro. However, the involvement of mTOR/P70S6K pathway in zinc-induced oxidative stress, tau degeneration, synaptic and cognitive impairment, has not been fully elucidated in vivo. Here we assessed in the effect of pathological concentration of zinc in SH-SY5Y cells by using biochemical assays and immunofluorescence staining. Rats (n = 18, male) were lateral ventricularly-injected with zinc and treated with rapamycin (intraperitoneal injection) for one week and assessed using Morris water maze. Evaluation of the oxidative stress, tau phorsphylation and synaptic impairment were performed using the hippocampus tissue of the rats by biochemical assays and immunofluorescence staining. Results from Morris water maze showed that the capacity of spatial memory is impaired in zinc-treated rats. Zinc sulfate significantly increased the levels of P-mTOR Ser2448, P-p70S6K Thr389, and P-tau Ser356, and decreased levels of Nrf2 and HO{square}1 in SH-SY5Y cells and in zinc-treated rats compared with control groups. Increased expressions of reactive oxygen species were observed in zinc sulfate-induced SH-SY5Y cells as well as in the hippocampus of zinc-injected rats. Rapamycin, an inhibitor of mTOR, rescued the zinc-induced increases in mTOR/p70S6K activations, tau phosphorylation and oxidative stress, as well as Nrf2/HO{square}1 inactivation, cognitive impairment and synaptic impairment reduced the expression of synapse-related proteins in zinc-injected rats. In conclusion, our findings imply that rapamycin prevents zinc-induced cognitive impairment and protects neurons from tau pathology, oxidative stress and synaptic impairment, by decreasing mTOR/p70S6K hyperactivity and increasing Nrf2/HO {square} 1 activity.

neuroscience↗

bioRxiv2021

When development is constantly but weakly perturbed - Canalization by microRNAs

Recent studies have increasingly pointed to microRNAs (miRNAs) as the agent of GRN (gene regulatory network) stabilization as well as developmental canalization against constant but small environmental perturbations. Since the complete removal of miRNAs is lethal, we construct a Dicer-1 knockdown line (dcr-1 KD) in Drosophila that modestly reduces all miRNAs. We hypothesize that flies with modest miRNA reductions will gradually deviate from the developmental norm, resulting in late-stage failures such as shortened longevity. In the optimal culture condition, the survival to adulthood is indeed normal in the dcr-1 KD line but, importantly, adult longevity is reduced by [~] 90%. When flies are stressed by high temperature, dcr-1 KD induces lethality earlier in late pupation and, as the perturbations are shifted earlier, the affected stages are shifted correspondingly. We further show that the developmental failure is associated with GRN aberration in the larval stages even before phenotypic aberrations become observable. Hence, in late stages of development with deviations piling up, GRN would be increasingly in need of stabilization. In conclusion, miRNAs appear to be the genomes solution to weak but constant environmental perturbations.

molecular biology↗

bioRxiv2021

Azacytidine targeting SARS-CoV-2 viral RNA as a potential treatment for COVID-19

The COVID-19 pandemic is a global health disaster. Moreover, emerging mutated virus strains present an even greater challenge for existing vaccines and medications. One possible solution is to design drugs based on the properties of virus epigenome, which are more common among coronaviruses. Here, we reported an FDA-approved drug for myelodysplastic syndrome, azacytidine (5Aza), limited virus infection and protected mice against SARS-CoV-2. We demonstrated that this antiviral effect is related to 5Aza incorporation into viral RNA, which disrupt m5C RNA methylation modification profile. This work suggests that targeting viral epigenomes is a viable therapeutic strategy, potentially opening new pathways for treating COVID-19.

microbiology↗

bioRxiv2021

Domestication Reshaped the Genetic Basis of Inbreeding Depression in a Maize Landrace Compared to its Wild Relative, Teosinte

Inbreeding depression is the reduction in fitness and vigor resulting from mating of close relatives observed in many plant and animal species. The extent to which the genetic load of mutations contributing to inbreeding depression is due to rare large-effect variation versus potentially more common variants with very small individual effects is unknown and may be affected by population history. We compared the effects of outcrossing and self-fertilization on 18 traits in a landrace population of maize, which underwent a population bottleneck during domestication, and a neighboring population of its wild relative teosinte. Inbreeding depression was greater in maize than teosinte for 15 of 18 traits, congruent with the greater segregating genetic load predicted from sequence data in the maize population. For many traits - and more commonly in maize - genetic variation among selffertilized families was less than expected based on additive and dominance variance estimated in outcrossed families, suggesting that a negative covariance between additive and homozygous dominance effects limits the variation available to selection under partial inbreeding. We identified quantitative trait loci (QTL) representing large-effect rare variants carried by only a single parent, which were more important in teosinte than maize. Teosinte also carried more putative juvenile-acting lethal variants identified by segregation distortion. These results suggest a mixture of mostly polygenic, smalleffect recessive variation underlying inbreeding depression, with an additional contribution from rare larger-effect variants that was more important in teosinte but depleted in maize following to the domestication bottleneck. Purging associated with the maize domestication bottleneck may have selected against large effect variants, but polygenic load is harder to purge and segregating mutational burden increased in maize compared to teosinte.

evolutionary biology↗

bioRxiv2021

Counting actin in contractile rings reveals novel contributions of cofilin and type II myosins to fission yeast cytokinesis

Cytokinesis by animals, fungi and amoebas depends on actomyosin contractile rings, which are stabilized by continuous turnover of actin filaments. Remarkably little is known about the amount of polymerized actin in contractile rings, so we used low concentration of GFP-Lifeact to count total polymerized actin molecules in the contractile rings of live fission yeast cells. Contractile rings of wild-type cells accumulated polymerized actin molecules at 4,900/min to a peak number of [~]198,000 followed by a loss of actin at 5,400/min throughout ring constriction. In adf1-M3 mutant cells with cofilin that severs actin filaments poorly, contractile rings accumulated polymerized actin at twice the normal rate and eventually had almost two-fold more actin along with a proportional increase in type II myosins Myo2, Myp2 and formin Cdc12. Although 30% of adf1-M3 mutant cells failed to constrict their rings fully, the rest lost actin from the rings at the wild-type rates. Mutations of type II myosins Myo2 and Myp2 reduced contractile ring actin filaments by half and slowed the rate of actin loss from the rings.

cell biology↗

bioRxiv2021

Amplification-free detection of viral RNA by super resolution imaging-based CRISPR/Cas13a System

RNA detection is crucial for biological research and clinical diagnosis. The current methods include both direct and amplification-based RNA detection. These methods require complicated procedures, suffering from low sensitivity, slow turnaround, and amplification bias. The CRISPR/Cas13a system is a direct RNA detection method via target RNA induced collateral cleavage activity. However, to detect low concentration RNA with CRISPR/Cas13a, target amplification is always required. Herein, we optimize the components of the CRISPR/Cas13a assay to enhance the sensitivity of viral RNA detection which improve the detection limit from 1 pM up to 100 fM. In addition, the integration of CRISPR/Cas13a biosensing and single molecule super resolution imaging is a novel strategy for direct and amplification-free RNA detection. After surface modification, fluorescent RNA reporters are immobilized on the glass coverslip surface and fluorescent signals are captured by total internal reflection fluorescence microscopy (TIRFM), shifting the measurement from spectroscopy to imaging. We quantify the fluorescence signal intensity before and after collateral cleavage of the CRISPR system when viral RNA is present and achieve a detection limit of 10 fM. Therefore, we provide a novel TIRFM-based system to visualize the CRISPR trans-cleavage for direct and robust RNA detection.

bioengineering↗

bioRxiv2021

A drug candidate for treating adverse reactions caused by pathogenic antibodies inducible by COVID-19 virus and vaccines

In a recent study, we reported that certain anti-spike antibodies of COVID-19 and SARS-CoV viruses can have a pathogenic effect through binding to sick lung epithelium cells and misleading immune responses to attack self-cells. We termed this new pathogenic mechanism "Antibody Dependent Auto-Attack" (ADAA). This study explores a drug candidate for prevention and treatment of such ADAA-based diseases. The drug candidate is a formulation comprising N-acetylneuraminic acid methyl ester (NANA-Me), an analog of N-acetylneuraminic acid. NANA-Me acts through a unique mechanism of action (MOA) which is repairment of the missing sialic acid on sick lung epithelium cells. This MOA can block the antibodies binding to sick cells, which are vulnerable to pathogenic antibodies. Our in vivo data showed that the formulation significantly reduced the sickness and deaths caused by pathogenic anti-spike antibodies. Therefore, the formulation has the potential to prevent and treat the serious conditions caused by pathogenic antibodies during a COVID-19 infection. In addition, the formulation has potential to prevent and treat the adverse reactions of COVID-19 vaccines because the vaccines can induce similar antibodies, including pathogenic antibodies. The formulation will be helpful in increasing the safety of the vaccines without reducing the vaccines efficacy. Compared to existing antiviral drugs, the formulation has a unique MOA of targeting receptors, broad spectrum of indications, excellent safety profile, resistance to mutations, and can be easily produced.

microbiology↗

bioRxiv2021

A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Neuroimaging Phenotypes of Disease

AO_SCPLOWBSTRACTC_SCPLOWWe propose a novel end-to-end framework for whole-brain and whole-genome imaging-genetics. Our genetics network uses hierarchical graph convolution and pooling operations to embed subject-level data onto a low-dimensional latent space. The hierarchical network implicitly tracks the convergence of genetic risk across well-established biological pathways, while an attention mechanism automatically identifies the salient edges of this network at the subject level. In parallel, our imaging network projects multimodal data onto a set of latent embeddings. For interpretability, we implement a Bayesian feature selection strategy to extract the discriminative imaging biomarkers; these feature weights are optimized alongside the other model parameters. We couple the imaging and genetic embeddings with a predictor network, to ensure that the learned representations are linked to phenotype. We evaluate our framework on a schizophrenia dataset that includes two functional MRI paradigms and gene scores derived from Single Nucleotide Polymorphism data. Using repeated 10-fold cross-validation, we show that our imaging-genetics fusion achieves the better classification performance than state-of-the-art baselines. In an exploratory analysis, we further show that the biomarkers identified by our model are reproducible and closely associated with deficits in schizophrenia.

bioinformatics↗

bioRxiv2021

MLC Seq: De novo sequencing of full-length tRNA isoforms by mass ladder complementation

tRNAs can exist in distinct isoforms because of different chemical modifications, which confounds attempts to accurately sequence individual tRNA species using next generation sequencing approaches or to quantify different RNA modifications at specific sites on a tRNA strand. Herein, we develop a mass spectrometric (MS) ladder complementation sequencing (MLC-Seq), allowing for direct and simultaneous sequencing of full-length tRNA molecules, including those with low abundance. MLC-seq is achieved by improved instrumentation, and advanced algorithms that identify each tRNA species and related isoforms in an RNA mixture, and assemble full MS ladders from partial ladders with missing ladder components. Using MLC-Seq, we successfully obtained the sequence of tRNA-Phe from yeast and tRNA-Glu from mouse hepatocytes, and simultaneously revealed new tRNA isoforms derived from nucleotide modifications. Importantly, MLC-Seq pinpointed the location and stoichiometry changes of RNA modifications in tRNA-Glu upon the treatment of dealkylated enzyme AlkB, which confirmed its known enzymatic activity and suggested previously unidentified effects in RNA editing.

biochemistry↗

bioRxiv2021

Alpha oscillatory activity causally linked to working memory retention: insights from online phase-locking closed-loop transcranial alternating current stimulation (tACS)

Although previous studies have reported correlations between alpha oscillations and the "retention" sub-process of working memory (WM), causal evidence has been limited in human neuroscience due to the lack of delicate modulation of human brain. Conventional tACS is not suitable for demonstrating the causal evidence for parietal alpha oscillations in WM retention because of its inability to modulate brain oscillations within a short period (i.e., the retention sub-process). Here, we developed an online phase-corrected closed-loop transcranial alternating current stimulation (tACS) system capable of precisely correcting for the phase differences between tACS and concurrent endogenous oscillations. This system permits both up- and down-regulation of brain oscillations at the target stimulation frequency within a short stimulation period, and is here applied to empirically demonstrate that parietal alpha oscillations causally relate to WM retention. Our experimental design included both in-phase and anti-phase alpha-tACS applied to 39 participants during the retention sub-processes of a modified Sternberg paradigm. Compared to in-phase alpha-tACS, anti-phase alpha-tACS decreased both WM performance and alpha activity. Moreover, the in-phase tACS-induced changes in WM performance were positively correlated with alpha oscillatory activity. These findings strongly support a causal link between alpha oscillations and WM retention, and illustrate the broad application prospects of phase-corrected tACS.

neuroscience↗

bioRxiv2021

Fission yeast polycystin Pkd2p promotes transition to cell growth during cytokinesis

Polycystins are conserved mechanosensitive channels whose mutations lead to the common human renal disorder ADPKD. Previously we discovered that the plasma membrane-localized fission yeast homologue Pkd2p is an essential protein required for cytokinesis, but the mechanism remains unclear. Here, we isolated a novel temperature-sensitive mutant pkd2-B42. Among its strong growth defects, the most unique was that many mutant cells often lost significant portion of their volume in just 5 minutes followed by a gradual recovery, a process that we termed Deflation. Unlike cell lysis, deflation did not result in the plasma membrane rupture and it occurred independently from the cell cycle progression. The tip extension of pkd2-B42 cells was 80% slower than the wild type and their turgor pressure was 50% lower. Both pkd2-B42 and the other mutant pkd2-81KD partially rescued the mutants of the yeast Hippo signaling pathway Septation Initiation Network, by preventing cell lysis, enhancing septum formation, and doubling the number of Sid2/Mob1 molecules at the spindle pole bodies. We conclude that Pkd2p promotes cell size expansion during interphase by regulating turgor pressure and antagonizes SIN during cytokinesis. Summary statementMutations of polycystins lead to human genetic disorder ADPKD. We discovered that the fission yeast homologue Pkd2p promotes the cell expansion during interphase growth and antagonizes the Hippo pathway SIN during cytokinesis.

cell biology↗

bioRxiv2021

Selective recruitment of endoplasmic reticulum-targeted and cytosolic mRNAs into membrane-associated stress granules

Stress granules (SGs) are membraneless organelles composed of mRNAs and RNA binding proteins which undergo assembly in response to stress-induced inactivation of translation initiation. The biochemical criteria for mRNA recruitment into SGs are largely unknown. In general, SG recruitment is limited to a subpopulation of a given mRNA species and RNA-seq analyses of purified SGs revealed that signal sequence-encoding (i.e. endoplasmic reticulum (ER)-targeted) transcripts are significantly under-represented, consistent with prior reports that ER-localized mRNAs are excluded from SGs. Using translational profiling, cell fractionation, and single molecule mRNA imaging, we examined SG biogenesis during the unfolded protein response (UPR) and report that UPR-elicited SG formation is gene selective. Combined immunofluorescence-smFISH studies demonstrated that UPR-induced mRNA granules co-localized with SG protein markers and were in close physical proximity to or directly associated with the ER membrane. mRNA recruitment into ER-associated SGs required stress-induced translational inhibition, though translational inhibition was not solely predictive of mRNA accumulation in SGs. SG formation in response to UPR activation or arsenite addition was blocked by the transcriptional inhibitors actinomycin D or triptolide, suggesting a functional link between gene transcriptional state and SG biogenesis. These data demonstrate that ER-targeted mRNAs can be recruited into SGs and identify the ER as a subcellular site of SG assembly. On the basis of the transcriptional inhibitor studies, we propose that newly transcribed mRNAs undergoing nuclear export during conditions of suppressed translation initiation are key substrates for SG biogenesis.

cell biology↗

bioRxiv2021

Antimicrobial Effects of Ibuprofen Combined with Standard of Care Antimicrobials against Cystic Fibrosis Pathogens

Cystic Fibrosis (CF) is a common fatal genetic disease caused by mutations happened to cystic fibrosis transmembrane conductance regulator (CFTR) gene. Lungs of CF patients are often colonized or infected with microorganisms. Drug resistant bacterial infection has been problematic in cystic fibrosis patient. The chronic bacterial infections and concomitant airway inflammation could damage the lung and lead to respiratory failure. Several clinical trials have demonstrated that high-dose ibuprofen reduces the rate of pulmonary function decline in CF patients. This beneficial effect has been attributed to the anti-inflammatory properties of ibuprofen. Previously, we have confirmed that high-dose ibuprofen demonstrated antimicrobial activity against P. aeruginosa in in vitro and in vivo. However, no study has examined the antimicrobial effect of combining ibuprofen with standard-of-care (SoC) antimicrobials. Here, we evaluated possible synergistic activity of combinations of common nonsteroidal anti-inflammatory drugs (NSAIDs), namely, aspirin, naproxen, and ibuprofen, with commonly used antibiotics for CF patients. The drug combinations were screened against different CF clinical isolates. Drugs that demonstrated efficacy in the presence of ibuprofen were further verified synergistic effects between these antimicrobials and NSAIDs. Finally, the survival analysis of an P. aeruginosa murine infection model was used to demonstrate the efficacy of synergistic combination. Our results suggest that combinations of ibuprofen with commonly used antibiotics demonstrate synergistic antimicrobial activity against drug resistant, clinical bacterial strains in in vitro. The efficacy of combination ceftazidime and ibuprofen was demonstrated in in vivo.

microbiology↗

bioRxiv2021

A new role of low barrier hydrogen bond in mediating protein stability by small molecules

Low barrier hydrogen bond (LBHB) is a special type of hydrogen bond which occurs where two heteroatoms with similar pKa values share a single proton resulting in an unusually strong and short hydrogen bond. LBHBs in protein play important roles in enzyme catalysis and maintaining protein structural integrity but its other biochemical roles are unknown. Here we report a novel function of LBHB in selectively inducing tubulin protein degradation. A tubulin inhibitor, 3-(3-Phenoxybenzyl) amino-{beta}-carboline (PAC), promotes selective degradation of {beta}-tubulin heterodimers by binding to the colchicine site of {beta}-tubulin. Biochemical studies have revealed that PAC specifically destabilizes tubulin, making it prone to aggregation that then predisposes it to ubiquitinylation and then degradation. Structural activity analyses have indicated that the destabilization is mediated by a single hydrogen bond formed between the pyridine nitrogen of PAC and {beta}Glu198, which is identified as a LBHB. In contrast, another two tubulin inhibitors only forming normal hydrogen bonds with {beta}Glu198 exhibit no degradation effect. Thus, the LBHB accounts for the degradation. Most importantly, we screened for compounds capable of forming LBHB with {beta}Glu198 and demonstrated that BML284, a Wnt signaling activator, also promotes tubulin heterodimers degradation in a PAC-like manner as expected. Our study has identified a novel approach for designing tubulin degraders, providing a unique example of LBHB function and suggests that designing small molecules to form LBHBs with protein residues resulting in the highly specific degradation of a target protein could be a new strategy for drug development.

biochemistry↗

bioRxiv2021

Investigating trait variability of gene co-expression network architecture in brain by manipulating genomic signatures of schizophrenia risk

While the role of genomic risk for schizophrenia on brain gene co-expression networks has been described, the patterns of its manifestations are varied and complex. To acquire a deeper understanding of this issue, we implemented a novel approach to network construction by manipulating the RNA-Seq expression input to "integrate" or "remove" the "modulatory" effects of genomic risk for schizophrenia. We created co-expression networks in DLPFC from the adjusted expression input and compared them in terms of gene overlap and connectivity. We used linear regression models to remove variance explained by RNA quality, cell type proportion, age, sex and genetic ancestry. We also created co-expression networks based on the genomic profile of a normative trait, height, as a "negative control"; we also applied the same analytical approach in two independent samples: LIBD Human Brain Repository (HBR) (N=78 brains, European ancestry) and Common Mind Consortium (CMC) (N=116 brains, European ancestry). In addition to direct comparisons, we explored the biological plausibility of the differential gene clusters between co-expression networks by testing them for enrichment in relevant gene ontologies and gene sets of interest (PGC2-CLOZUK GWAS significant loci genes, height GWAS significant loci genes, genes in synaptic ontologies-SynGO and genes of the "druggable genome"). We identify several key aspects of the role of genomic risk for schizophrenia in brain co-expression networks: 1) Variability of co-expression modules with "integration" or "removal" of genomic profiles of complex traits (normal or pathological); 2) Biological plausibility of gene sets represented in the differential co-expression contrasts and potential relevance for illness etiopathogenesis; 3) Non-preferential mapping of schizophrenia GWAS loci genes to network areas apparently influenced by the genomic risk score. Overall, our study supports the notion that genomic risk for schizophrenia has an extensive and non-linear effect on brain gene co-expression networks that possibly manifests as a molecular background for gene-gene, gene-environment interactions that affect various biological pathways.

genomics↗

bioRxiv2021

Urgent Brain Vascular Regeneration Occurs via Lymphatic Transdifferentiation

Acute ischemic stroke damages regional brain blood vessel (BV) network. Urgent recovery of basic blood flows, which represents the earliest regenerated BVs, are critical to improve clinical outcomes and minimize lethality. Although the late-regenerated BVs have been implicated to form via growing along the meninge-derived lymphatic vessels (iLVs), mechanisms underlying the early, urgent BV regeneration remain elusive. Using zebrafish cerebrovascular injury models, we show that the earliest regenerated BVs come from lymphatic transdifferentiation, a hitherto unappreciated process in vertebrates. Mechanistically, LV-to-BV transdifferentiation occurs exclusively in the stand-alone iLVs through Notch activation. In the track iLVs adhered by nascent BVs, transdifferentiation never occurs because the BV-expressing EphrineB2a paracellularly activates the iLV-expressing EphB4a to inhibit Notch activation. Suppression of LV-to-BV transdifferentiation blocks early BV regeneration and becomes lethal. These results demonstrate that urgent BV regeneration occurs via lymphatic transdifferentiation, suggesting this process and key regulatory molecules EphrinB2a/EphB4a/Notch as new post-ischemic therapeutic targets.

developmental biology↗

bioRxiv2021

Awareness-dependent normalization framework of visual bottom-up attention

Although bottom-up attention can improve visual performance with and without awareness, whether they are governed by a common neural computation remains unclear. Using a modified Posner paradigm with backward masking, we found that both the attention-triggered cueing effect with and without awareness displayed a monotonic gradient profile (Gaussian-like). The scope of this profile, however, was significantly wider with than without awareness. Subsequently, for each subject, the stimulus size was manipulated as their respective mean scopes with and without awareness while stimulus contrast was varied in a spatial cueing task. By measuring the gain pattern of contrast-response functions, we observed changes in the cueing effect consonant with changes in contrast gain for bottom-up attention with awareness and response gain for bottom-up attention without awareness. Our findings indicate an awareness-dependent normalization framework of visual bottom-up attention, placing a necessary constraint, namely, awareness, on our understanding of the neural computations underlying visual attention.

neuroscience↗