Biology subjects

Hanson, J.

Publications and source records attributed to Hanson, J..

At least 19 recordsLinked to original sources

bioRxiv2026

PHYRE, a Translated uORF, is Required for Phytochrome B Translation and Photomorphogenesis in Arabidopsis

Translational control allows cells to adjust protein output independently of transcription, yet the mRNA-encoded mechanisms that govern this regulatory layer remain poorly understood. Upstream open reading frames (uORFs) are among the most prevalent translational regulatory elements in eukaryotic genomes; however, characterised examples of activating uORFs that promote rather than inhibit downstream translation are exceedingly rare. Here we show that efficient expression of phytochrome B (phyB), the master red-light photoreceptor of Arabidopsis thaliana, requires translation of a short uORF in its own 5'UTR, which we name PHYTOCHROME REGULATOR (PHYRE). Loss of PHYRE function phenocopies phyB null mutants across germination, hypocotyl growth, leaf development, and flowering time. PHYRE activity depends on its encoded peptide sequence, and the spacing between PHYRE and the PHYB start codon is a critical determinant of downstream translation efficiency, consistent with a position-dependent reinitiation mechanism. PHYRE-like elements are conserved across eudicots, establishing uORF-mediated translational gating as a broadly maintained regulatory layer controlling a master photoreceptor.

plant biology↗

bioRxiv2025

Shared Neural Signatures of Socioeconomic Status, Scarcity, and Neighborhood Threat in Youth

Early life adversity is a known risk factor for psychopathology, yet the neurodevelopmental impacts of distinct types of adversity remain unclear. Using machine learning, we examined how adversity (physical and sexual abuse, neighborhood threat, scarcity, household dysfunction, prenatal substance exposure, parental psychopathology) and socioeconomic status are associated with cortical thickness in youth. We used data from the Adolescent Brain Cognitive Development Study at three time points: baseline (N=6,908, ages 9-10), two-year follow-up (N=5,808), and four-year follow-up (N=2,245). Cortical thickness was linked to socioeconomic status and neighborhood threat at all time points, and scarcity at baseline. The strongest negative associations were in medial temporal and occipital regions. Our analyses revealed neural effects of socioeconomic status, neighborhood threat, and scarcity, converging on regions involved in memory, visual processing, and higher-order cognition. These findings suggest consistent neural signatures linked to socioeconomic disadvantage, highlighting the importance of addressing inequality to promote neurodevelopmental health.

neuroscience↗

bioRxiv2025

GPR27 mediates adrenergic ligands-induced transinhibition of EGFR

1.G-protein coupled receptor 27 (GPR27) is part of the "Super Conserved Receptors Expressed in Brain" (SREB) family, alongside GPR85 and GPR173. While the endogenous ligands and functions of SREB receptors are still unknown, GPR27 has been implicated in insulin secretion and tumorigenesis. Here, we show that substituting GPR27s C-terminus domain with that of the {beta}1 adrenergic receptor ({beta}1AR) yields a chimera with {beta}1AR-like ligand selectivity and cellular functions. Interestingly, adrenergic ligands stimulation of GPR27 inhibited EGF-induced serum-responsive element (SRE) activation, independently of G-proteins and {beta}-arrestins, through dephosphorylation of c-Src and EGFR proteins. This unique response was exclusive to GPR27, as GPR85 and GPR173 showed no similar effects. These findings suggest that GPR27 is a receptor responding to adrenergic ligands to transinhibit EGFR through an atypical signaling mechanism.

cell biology↗

bioRxiv2024

A porcine chronic hepatitis E virus (HEV) infection model exhibits HEV replication in male accessory reproductive glands and immune-mediated reproductive damage

Hepatitis E virus (HEV) is an expanding zoonotic viral disease threat. Although HEV causes acute viral hepatitis, it is increasingly being recognized as a systemic pathogen with detection and damage in extrahepatic tissues. The presence of HEV RNA in the semen of chronically infected human patients in the absence of viremia and fecal shedding and presence of HEV in the sperm head underscores the need to understand the interaction of HEV within the male reproduction system. Male accessory glands secrete biofluids necessary for sperm nourishment and to neutralize the acidity of the vagina. The role of male accessory glands in the dissemination and persistence of HEV infection have not been studied. Using an immunosuppressed pig model for chronic HEV infection, we demonstrate infectious HEV in mature sperm cells altering the sperm motility and morphology. HEV isolated from sperm cells remained infectious in human hepatoma cells. Spermatic fluid contained lower virus titers than the sperm cells from chronically infected pigs highlighting that the sperm cells themselves can associate with the virus. Evaluation of the male accessory glands demonstrated viral replication, infiltration of CD45 leukocytes, and apoptosis associated with HEV infection. A decrease in serum testosterone levels was evident in the HEV infected pigs. Even though a lower viral RNA titer was seen in serum and feces of chronically infected, immunosuppressed and ribavirin treated pigs, high viral RNA and infectious particles in sperm is a concern. Our findings necessitate further studies defining the mechanism of sperm cell invasion by HEV, length of HEV survival in sperm cells during chronic HEV infection, and risk of sexual transmission of HEV during both acute and chronic phases of infection. Author SummaryHepatitis E virus, a leading cause of acute viral hepatitis, causes both acute and chronic infection in humans. Recent advances within the HEV field have demonstrated extrahepatic diseases associated with HEV. More recent findings have revealed infectious HEV in the vagina, Sertoli cells, and ejaculate of humans, and sperm cells of pigs. We demonstrate that the male accessory sex glands may have a role in the persistence of HEV infection during chronic infections. We utilized an established immunosuppressed pig model and treated pigs with ribavirin to study the presence of virus in the sperm cells. We demonstrated high viral RNA loads and infectious particles associated with sperm cells. Our study further highlights the importance of the testis, as an immune privileged site, in the maintenance of chronic HEV infection. New studies to evaluate the mechanisms by which HEV associates with sperm cells, the length of HEV survival in sperm cell fractions, and consideration of the testes as a potential HEV reservoir are necessary.

microbiology↗

bioRxiv2024

ACKR5/GPR182 is a scavenger receptor for the atypical chemokine CXCL17, GPR15L and various endogenous peptides

GPR182/ACKR5, the most recently deorphanized chemokine receptor, is mainly expressed on endothelial cells and was proposed to act as a scavenger regulating the availability of a large set of chemokines. In this study, we first established the exact profiles and ranking of the chemokines binding to the human and mouse GPR182. We confirmed the high promiscuity of GPR182 towards XC, CC and CXC chemokines and a clear difference in the chemokine repertoires of the human and mouse orthologues. We next demonstrated that, beyond classical chemokines, GPR182 exhibits potent binding to the chemoattractant protein GPR15L/C10orf99, the atypical chemokine CXCL17 and various endogenous peptides, mainly from the opioid, apelin, and PACAP families. We also showed that these newly identified ligands engage GPR182 through varied binding modes. While GPR15L, just like classical chemokines, predominantly engages GPR182 via its N terminus, conversely to the C terminus-dependent binding to its cognate receptor GPR15, CXCL17 exhibits a more complex interaction, relying on both the N and C terminus. The binding mode of the newly identified peptide ligands also differ from the interactions with their cognate receptors. Our findings establish the first scavenger receptor for CXCL17 and GPR15L and advance the understanding of GPR182 ligand interactions, suggesting a regulatory role beyond chemokines.

pharmacology and toxicology↗

bioRxiv2024

A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use

Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance-use or a marker of the inclination to engage in such behaviour. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1,000 participants. Behaviours and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use. TeaserA robust brain network for sustained attention at age 14 predicts cigarette and cannabis use from ages 14 to 23.

neuroscience↗

bioRxiv2023

Sucrose-mediated translational stalling involves a conserved ribosomal pocket

Within eukaryotes, 20-50% of the mRNAs contain short open reading frames (uORFs) located upstream of the main ORF. A significant fraction of these uORFs encode conserved peptides (CPuORFs) that regulate translation in response to specific metabolites. A well-studied example includes uORF2 of the plant growth inhibiting transcription factor bZIP11. Elevated intracellular sucrose levels lead to ribosome stalling at the stop codon of uORF2, thus reducing bZIP11 protein synthesis. Similar examples can be found in bacteria and animals, e.g. on the bacterial TnaC and human CDH1-NPN* ORFs that both induce stalling at the stop codon when in the presence of tryptophan and the drug-like molecule PF846, respectively. In this study, we affinity-purified in vitro translated sucrose-stalled wheat ribosomes translating bZIP11-uORF2 and determined the ribosomes structures using cryo-electron microscopy. This revealed density inside a pocket in the ribosomal exit tunnel of the plant Triticum aestivum, that colocalizes with the binding locations of tryptophan and PF846 in E. coli and humans, respectively. We suggest this density corresponds to sucrose. Tryptophan and PF846 mode-of-action was previously proposed to inhibit release factor binding or function. Mutation of the uORF2 stop codon shows that its presence is crucial for sucrose-induced stalling, suggesting that the stalling only manifests during termination and not elongation. Moreover, the structural similarities with tryptophan-induced stalled ribosomes near the peptidyl transferase center indicates that an analogous mechanism of inhibition of release factor function is likely. Our findings suggest a conserved mechanistic framework across different organisms, wherein specific molecules interact with the nascent peptide and ribosome to modulate protein synthesis.

molecular biology↗

bioRxiv2023

co-opts phagocytic hemocytes for systemic dissemination in the Lone Star tick, .

Hematophagous arthropods can acquire and transmit several pathogens of medical importance. In ticks, the innate immune system is crucial in the outcome between vector-pathogen interaction and overall vector competence. However, the specific immune response(s) elicited by the immune cells known as hemocytes remains largely undefined in Ehrlichia chaffeensis and its competent tick vector, Amblyomma americanum. Here, we show that granulocytes, professional phagocytic cells, are integral in eliciting immune responses against commensal and pathogen infection. The chemical depletion of granulocytes led to decreased phagocytic efficiency of tissues-associated hemocytes. We demonstrate E. chaffeensis can infect circulating hemocytes, and both cell-free plasma and hemocytes from E. chaffeensis-infected ticks can establish Ehrlichia infection in recipient ticks. Lastly, we provide evidence to show granulocytes play a dual role in E. chaffeensis infection. Depleting granulocytic hemocytes increased Ehrlichia load in the salivary gland and midgut tissues. In contrast, granulocyte depletion led to a reduced systemic load of Ehrlichia. This study has identified multiple roles for granulocytic hemocytes in the control and systemic dissemination of E. chaffeensis infection.

immunology↗

bioRxiv2023

An In-Silico Testbed for Fast and Accurate MR Labeling of Orthopaedic Implants

AO_SCPLOWBSTRACTC_SCPLOWOne limitation on the ability to monitor health in older adults using Magnetic Resonance (MR) imaging is the presence of implants, where the prevalence of implantable devices (orthopedic, cardiac, neuromodulation) increases in the population, as does the pervasiveness of conditions requiring MRI studies for diagnosis (musculoskeletal diseases, infections, or cancer). The present study describes a novel multiphysics implant modeling testbed using the following approaches with two examples: - an in-silico human model based on the widely available Visible Human Project (VHP) cryo-section dataset; - a finite element method (FEM) modeling software workbench from Ansys (Electronics Desktop/Mechanical) to model MR radio frequency (RF) coils and the temperature rise modeling in heterogeneous media. The in-silico VHP Female model (250 parts with an additional 40 components specifically characterizing embedded implants and resultant surrounding tissues) corresponds to a 60-year-old female with a body mass index (BMI) of 36. The testbed includes the FEM-compatible in-silico human model, an implant embedding procedure, a generic parameterizable MRI RF birdcage two-port coil model, a workflow for computing heat sources on the implant surface and in adjacent tissues, and a thermal FEM solver directly linked to the MR coil simulator to determine implant heating based on an MR imaging study protocol. The primary target is MR labeling of large orthopaedic implants. The testbed has very recently been approved by the US Food and Drug Administration (FDA) as a medical device development tool (MDDT) for 1.5 T orthopaedic implant examinations.

biophysics↗

bioRxiv2023

Rat hepatitis E virus (HEV) cross-species infection and transmission in pigs

Rocahepevirus ratti, an emerging hepatitis E virus (HEV), has recently been found to be infectious to humans. Rats are a primary reservoir of the virus; thus, it is referred to as "rat HEV". Rats are often found on swine farms in close contact with pigs. Our goal was to determine whether swine may serve as a transmission host for rat HEV by characterizing an infectious cDNA clone of a zoonotic rat HEV, strain LCK-3110, in vitro and in vivo. RNA transcripts of LCK-3110 were constructed and assessed for their replicative capacity in cell culture and in gnotobiotic pigs. Fecal suspension from rat HEV-positive gnotobiotic pigs was inoculated into conventional pigs cohoused with naive pigs. Our results demonstrated that capped RNA transcripts of LCK-3110 rat HEV replicated in vitro and successfully infected conventional pigs that transmit the virus to cohoused animals. The infectious clone of rat HEV may afford an opportunity to study the genetic mechanisms of rat HEV cross-species infection and tissue tropism. Significance StatementNew zoonotic strains of Rocahepevirus ratti (rat HEV) have emerged infecting both immunocompetent and immunosuppressed people through unknown transmission sources. Pigs are a primary source of transmission for human HEV strains and could be serving a similar role for rat HEV transmission as rats are a common pest found on swine farms worldwide. Rats could be transmitting rat HEV to pigs which could then be transmitted to humans. Determining susceptibility of pigs to emerging zoonotic rat HEV strains can define potentially new transmission routes to inform public health policy and could provide pathology models for rat HEV disease.

microbiology↗

bioRxiv2023

S1 basic leucine zipper transcription factors shape plant architecture by controlling C/N partitioning to apical and lateral organs

Plants exhibit an immense plasticity in their architecture. While the impact of hormonal regulation is well-characterised, the importance of sugar-signalling has just recently emerged. Here, we addressed which sugar-signalling components mediate the trade-off between growth of apical versus lateral meristems and how they control organ sink-strength. Thereby, we unravelled a novel developmental function of the sugar-controlled S1 basic-leucine-zipper (S1-bZIP) transcription factors in establishing global source-sink interactions. Applying comprehensive molecular, analytical, and genetic approaches, we demonstrate that S1-bZIPs operate in a redundant manner to control tissue-specific expression of defined SWEET sugar-transporters and the GAT1_2.1 glutaminase. By these means, S1-bZIPs control carbohydrate (C)-channelling from source leaves to apical shoot and root organs and tune systemic organic nitrogen (N)-supply to restrict lateral organ formation by C/N depletion. Knowledge of the underlying mechanisms controlling plant C/N partitioning is of pivotal importance for breeding strategies to generate plants with desired architectural and nutritional characteristics.

plant biology↗

bioRxiv2023

The immune response to a fungus in pancreatic cancer samples

Pancreatic ductal adenocarcinoma (PDAC) is a poor prognosis cancer with an .aggressive growth profile that is often diagnosed at late stage and that has few curative or therapeutic options. PDAC growth has been linked to alterations in the pancreas microbiome, which could include the presence of the fungus Malassezia. We used RNA-sequencing to compare 14 paired tumor and normal (tumor adjacent) pancreatic cancer samples and found Malassezia RNA in both the PDAC and normal tissues. Although the presence of Malassezia was not correlated with tumor growth, a set of immune- and inflammatory-related genes were up-regulated in the PDAC compared to the normal samples, suggesting that they are involved in tumor progression. Gene set enrichment analysis suggests that activation of the complement cascade pathway and inflammation could be involved in pro PDAC growth.

cancer biology↗

bioRxiv2022

Id2 GABAergic interneurons comprise a neglected fourth major group of cortical inhibitory cells

Cortical GABAergic interneurons (INs) represent a diverse population of mainly locally projecting cells that provide specialized forms of inhibition to pyramidal neurons and other INs. Most recent work on INs has focused on subtypes distinguished by expression of Parvalbumin (PV), Somatostatin (SST), or Vasoactive Intestinal Peptide (VIP). However, a fourth group that includes neurogliaform cells (NGFCs) has remained enigmatic due to a lack of genetic tools. Here, we show that these INs can be accessed experimentally using intersectional genetics with the gene Id2. We find that outside of layer 1 (L1), the majority of Id2 INs are NGFCs that express high levels of neuropeptide Y (NPY) and exhibit a late-spiking firing pattern, with extensive local connectivity. While much sparser, non-NGFC Id2 INs had more variable properties, with most cells corresponding to a diverse group of INs that strongly expresses the neuropeptide CCK. In vivo, using silicon probe recordings, we observed several distinguishing aspects of NGFC activity, including a strong rebound in activity immediately following the cortical down state during NREM sleep. Our study provides insights into IN diversity and NGFC distribution and properties, and outlines an intersectional genetics approach for further study of this neglected group of INs.

neuroscience↗

bioRxiv2022

Cauliflower mosaic virus protein P6 forms a microenvironment for RNA granule proteins and interferes with stress granule responses

Biomolecular condensation is a multipurpose cellular process that viruses use ubiquitously in their multiplication. CaMV replication complexes are condensates that differ from most viruses in being non-membranous assemblies and consist of RNA and protein, mainly viral protein P6. Despite description of these viral factories already half a century ago with many observations that followed since, functional details of the condensation process, their properties and relevance has remained enigmatic. Our main findings include a large dynamic mobility range of host proteins within viral factories, while the viral matrix protein P6 is immobile in accordance with representing the central node of these condensates. As novel components of VFs we identify stress granule (SG) nucleating factors G3BP7 and the UBP1 family. Similarly, as SG components localize in VFs during infection, ectopic P6 localizes to SGs and reduces their assembly after stress. Intriguingly, it appears that soluble rather than condensed P6 suppresses SGs and mediates also other essential P6 functions, suggesting that the increased condensation over the infection time-course may accompany a progressive shift in selected P6 functions. Together, this study highlights VFs as dynamic condensates and P6 as a complex modulator of SG responses.

plant biology↗

bioRxiv2022

Identifying Optimal Neuroinflammation Treatment Using Nanoligomer Discovery Engine

Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital organ from a range of external pathogens and promotes healing after traumatic brain injury. However, chronic neuroinflammation leads to the activation of immune cells like microglia and astrocytes causes damage to the nervous tissue, and is causally linked to a range of neurodegenerative diseases such as Alzheimers diseases (AD), Multiple Sclerosis (MS), Parkinsons diseases (PD), and many others. While neuroinflammation is a key target for a range of neuropathological diseases, there is a lack of effective countermeasures to tackle it, and existing experimental therapies require fairly invasive intracerebral and intrathecal delivery due to difficulty associated with the therapeutic crossover between the blood-brain barrier (BBB), making such treatments impractical to treat neuroinflammation long-term. Here, we present the development of an optimal neurotherapeutic using our Nanoligomer discovery engine, by screening downregulation of several proinflammatory cytokines (e.g., Interleukin-1{beta} or IL-1{beta}, tumor necrosis factor-alpha or TNF-, TNF receptor 1 or TNFR1, Interleukin 6 or IL-6), inflammasomes (e.g., NLRP1), key transcription factors (e.g., nuclear factor kappa-B or NF-{kappa}{beta}) and their combinations, as upstream regulators and canonical pathway targets, to identify and validate the best-in-class treatment. Using our high-throughput drug discovery, target validation, and lead molecule identification via a bioinformatics and AI-based ranking method to design sequence-specific peptide molecules to up-or down-regulate gene expression of the targeted gene at will, we used our discovery engine to perturb and identify most effective upstream regulators and canonical pathways for therapeutic intervention to reverse neuroinflammation. The lead neurotherapeutic was a combination of Nanoligomers targeted to NF-{kappa}{beta} (SB.201.17D.8_ NF-{kappa}{beta}1) and TNFR1 (SB.201.18D.6_TNFR1), which were identified using in vitro cell-based screening in donor-derived human astrocytes, and further validated in vivo using a mouse model of lipopolysaccharide (LPS)-induced neuroinflammation. The combination treatment SB_NI_111 was delivered without any special formulation using a simple intraperitoneal injection of low-dose (5mg/kg) and was found to significantly suppress the expression of LPS-induced neuroinflammation in mouse hippocampus. These results point to the broader applicability of this approach towards the development of therapies for chronic neuroinflammation-linked neurodegenerative diseases, sleep countermeasures, and others, and the potential for further investigation of the lead neurotherapeutic molecule as reversible gene therapy.

neuroscience↗

bioRxiv2022

Probing Multiple Algorithms to Calculate Brain Age: Examining Reliability, Relations with Demographics, and Predictive Power

The calculation of so-called "brain age" has been an emerging biomarker in aging research. Data suggests that discrepancies between chronological age and the predicted age of the brain may be predictive of mortality and morbidity (for review, see Cole, Marioni, Harris, & Deary, 2019). However, with these promising results come technical complexities of how to calculate brain age. Various groups have deployed methods leveraging different statistical approaches, often crafting novel algorithms for assessing this biomarker. There remain many open questions about the reliability, collinearity, and predictive power of different algorithms. Here, we complete a rigorous systematic comparison of three commonly used, previously published brain age algorithms (XGBoost, brainageR, and DeepBrainNet) to serve as a foundation for future applied research. First, using multiple datasets with repeated MRI scans, we calculated two metrics of reliability (intraclass correlations and Bland-Altman bias). We then considered correlations between brain age variables, chronological age, biological sex, and image quality. We also calculated the magnitude of collinearity between approaches. Finally, we used canonical regression and machine learning approaches to identify significant predictors across brain age algorithms related to clinical diagnoses of mild cognitive impairment or Alzheimers Disease. Using a large sample (N=2557), we find all three commonly used brain age algorithms demonstrate excellent reliability (r>.9). We also note that brainageR and DeepBrainNet are reasonably correlated with one another, and that the XGBoost brain age is strongly related to image quality. Finally, and notably, we find that XGBoost brain age calculations were more sensitive to the detection of clinical diagnoses of mild cognitive impairment or Alzheimers Disease. We close this work with recommendations for future research studies focused on brain age.

neuroscience↗

bioRxiv2021

Cauliflower Mosaic Virus Utilizes Processing Bodies to Escape Translational Repression in Arabidopsis

Viral infections impose extraordinary RNA stress on a cell, triggering cellular RNA surveillance pathways like RNA decapping, nonsense-mediated decay and RNA silencing. Viruses need to maneuver between these pathways to establish infection and succeed in producing high amounts of viral proteins. Processing bodies (PBs) are integral to RNA triage in eukaryotic cells with several distinct RNA quality control pathways converging for selective RNA regulation. In this study, we investigate the role of Arabidopsis thaliana PBs during Cauliflower Mosaic Virus (CaMV) infection. We find that several PB components are co-opted into viral replication factories and support virus multiplication. This pro-viral role was not associated with RNA decay pathways but instead, we could establish PB components as essential helpers in viral RNA translation. While CaMV is normally resilient to RNA silencing, PB dysfunctions expose the virus to this pathway, similar to previous observations on transgenes. Transgenes, however, undergo RNA Quality Control dependent RNA degradation, whereas CaMV RNA remains stable but becomes translationally repressed through decreased ribosome association, revealing a unique dependence between PBs, RNA silencing and translational repression. Together, our study shows that PB components are co-opted by the virus to maintain efficient translation, a mechanism not associated with canonical PB functions.

plant biology↗

bioRxiv2021

On the Non-uniqueness Problem in Integrated Information Theory

Integrated Information Theory is currently the leading mathematical theory of consciousness. The core of the theory relies on the calculation of a scalar mathematical measure of consciousness, {Phi}, which is deduced from the phenomenological axioms of the theory. Here, we show that despite its widespread use, {Phi} is not a well-defined mathematical concept in the sense that the value it specifies is neither unique nor specific. This problem, occasionally referred to as "undetermined qualia", is the result of degeneracies in the optimization routine used to calculate {Phi}, which leads to ambiguities in determining the consciousness of systems under study. As demonstration, we first apply the mathematical definition of {Phi} to a simple AND+OR logic gate system and show 83 non-unique {Phi} values result, spanning a substantial portion of the range of possibilities. We then introduce a Python package called PyPhi-Spectrum which, unlike currently available packages, delivers the entire spectrum of possible {Phi} values for a given system. We apply this to a variety of examples of recently published calculations of {Phi} and show how virtually all {Phi} values from the sampled literature are chosen arbitrarily from a set of non-unique possibilities, the full range of which often includes both conscious and unconscious predictions. Lastly, we review proposed solutions to this degeneracy problem, and find none to provide a satisfactory solution, either because they fail to specify a unique {Phi} value or yield {Phi} = 0 for systems that are clearly integrated. We conclude with a discussion of requirements moving forward for scientifically valid theories of consciousness that avoid these degeneracy issues.

neuroscience↗