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Chen, C.-T.

Publications and source records attributed to Chen, C.-T..

16 recordsLinked to original sources

Multiplex genome engineering in yeast using the TIGR-Tas system

Tandem Interspaced Guide RNA (TIGR)-TIGR-associated (Tas) systems are a newly discovered family of ultracompact, modular RNA-guided DNA-targeting proteins that function without a protospacer adjacent motif (PAM) requirement. Their utility as genome engineering tools in microbes remains unexplored. Here, we report the first functional implementation of TIGR-Tas in Saccharomyces cerevisiae for genome engineering. We show that TasR from Parcubacteria (ParTasR) can be programmed by user-defined tigRNAs to generate targeted DNA double-strand breaks at yeast endogenous loci. By co-delivering ParTasR with customized tigRNAs and donor templates, we achieved precise gene fragment deletion and targeted codon substitutions at multiple genomic loci. The multiplex genome engineering capability of this TIGR-Tas system was demonstrated through high-efficiency multiplex gene disruption and chromosomal assembly of a lycopene biosynthesis pathway while inactivating an endogenous gene. This work establishes TIGR-Tas as a valuable addition to the yeast genome engineering toolbox, particularly for applications requiring PAM-independent targeting or compact delivery.

synthetic biology↗

Autoimmune diabetes-dependent c-Maf SUMOylation licenses inflammatory bowel disease by reshaping the gut microbiota

We have previously demonstrated a critical role of c-Maf SUMOylation in the regulation of autoimmune diabetogenesis, but its physiological relevance to and potential clinical impact on gut inflammation need further elucidation. Here, integrating a 14-year population-based time-trend cohort study of 139,204 type 1 diabetes patients with experiments in non-obese diabetic mice, we illustrated that autoimmune diabetes confers resistance to colitis mediated by an impaired c-Maf SUMOylation-driven IL-21-IgA axis. Utilizing T cell-specific c-Maf SUMOylation site-mutated mice, we further demonstrated that SUMOylation-defective c-Maf enhances IL-21 expression in CD4+ T cells to promote fecal IgA production and colitis resistance via microbiota remodeling, specifically through Lactobacillus johnsonii enrichment and activating lithocholic acid (LCA)-mediated AMPK anti-inflammatory pathway. Pharmacological HDAC2 inhibition by BRD6688 promotes c-Maf-mediated IL-21 and suppresses colitis in PBMC-humanized mice. Altogether, we revealed how SUMOylation reciprocally modulates the inflammatory process between autoimmune diabetes and colitis in a T cell-restricted and single transcription factor-based manner.

immunology↗

Towards autonomous biology: Compiler-Verified Protocols as a Foundation for Real World AI Execution

Artificial intelligence has advanced from analyzing experimental data to autonomously generating hypotheses, designing experiments, and coordinating closed loop discovery. Yet the translation from computational reasoning to physical execution remains bottlenecked by the experimental protocol, which in biology still relies on ambiguous natural-language descriptions: a medium other engineering disciplines abandoned decades ago in favor of compiler verified specification languages. This deficit fragments reproducibility along three axes: protocol accuracy, pre execution verification, and cross platform portability. Existing formalisms address only subsets of these challenges, trading expressiveness for rigor, portability for standardization, or usability for provenance. Here we introduce the Biology Protocol Language (BPL), a domain specific language with a biology-native type system in which every quantity carries physical units, every reagent declares its physical form, and every container maintains compiler-tracked state, so that implicit assumptions must be stated explicitly and physically impossible operations are rejected at compile time. We further develop BPL-COGEN, a pipeline that couples a fine tuned 30 billion parameter language model with the deterministic compiler in a closed generate validate repair loop, iteratively correcting the translation from natural language SOPs to BPL through compiler diagnostics until all physical, dimensional, and state constraints are satisfied. On a benchmark of 300 published Nature Protocols papers, BPL COGEN achieved an overall fidelity score of 95.1 against the source protocols as ground truth. Wet-lab experiment and cross-platform validation in GFP expression library construction and HPLC to UHPLC method translation confirmed that a single BPL source yielded reproducible execution across manual and liquid handler assisted contexts. The results established a novel pipeline that generates compiler-verified protocols, which is an essential prerequisite for physically embodied AI in biology.

synthetic biology↗

Mechanism of Gating and Isoform-Specific Inhibition in Renal CLC Chloride Channels

Hyponatremia is a prevalent disorder marked by excess water retention and substantial morbidity, motivating interest in the CLC-Ka chloride channel as a therapeutic target. Selectively inhibiting CLC-Ka without affecting the closely related CLC-Kb is essential for preventing serious side effects. However, developing isoform-selective inhibitors has been challenging because most small molecules do not distinguish between CLC-Ka and CLC-Kb, and the basis for selectivity in the few known exceptions remains unclear. The small molecule BIM1 preferentially inhibits CLC-Ka over CLC-Kb, providing an opportunity to dissect isoform-specific pharmacology. To investigate this mechanism, we determined cryo-EM structures of BIM1 and BIM15, a related nonselective analog, bound to a CLC-K variant engineered to match the human CLC-Ka binding pocket. Structural and computational analyses reveal that inhibition and isoform selectivity are anchored by interactions with a conserved lysine, with surrounding binding-site residues subtly tuning the local electrostatic environment to promote or disfavor these contacts. These analyses further identify a dynamic extracellular loop that intermittently occludes the shared pathway accessing the inhibitor-binding site and pore. Bound BIM15 engages this gating loop more extensively than BIM1, suggesting that differential loop engagement contributes to inhibitor selectivity, a prediction validated by mutagenesis. Because loop dynamics block the pore, we examined the structural impact of Ca{superscript 2}, which favors opening, and found the gating loop ordered and withdrawn from the pathway. Together, these findings define how binding-site microenvironments and gating-loop dynamics shape isoform-specific inhibition and pore access in CLC-K channels. Significance StatementHyponatremia is a major clinical problem with limited therapeutic options. The kidney chloride channel CLC-Ka is an attractive drug target, but its high sequence identity to CLC-Kb has hindered the development of isoform-selective inhibitors needed for safe therapy. A low-micromolar CLC-Ka-selective inhibitor had been identified, providing a foothold for drug development, but the structural basis of its selectivity was unknown. Here, by integrating cryo-EM structures with molecular dynamics simulations, we define the inhibitor-binding site and reveal the mechanism that enables preferential CLC-Ka inhibition. We further show that a dynamic extracellular loop functions as a gating element shaping inhibitor access and engagement. These findings establish a mechanistic foundation for developing improved treatments for hyponatremia.

biophysics↗

BMAL2 is a druggable target for ARID1A-wildtype ovarian clear cell carcinoma (OCCC)

Ovarian clear cell carcinoma (OCCC) is highly chemo-resistant and has worse clinical outcome at advanced stages than other ovarian cancer subtypes. The most frequent ([~]50%) alterations in OCCC are AT-rich interactive domain 1A gene (ARID1A) mutations which lead to ARID1A deficiency. However, OCCC that retains ARID1A function differs substantially from ARID1A mutated OCCC. Particularly, targeted therapies that sensitize ARID1A-deficient OCCC to DNA damage are largely ineffective against OCCC with wild-type (wt) ARID1A. Thus, it is important to identify druggable targets and develop targeted therapies specifically for ARID1A-wt OCCC. We identified BMAL2 as a critical OCCC oncogene that promotes tumorigenesis by preventing DNA damage from endogenous origins. BMAL2 depletion altered expression of genes in DNA damage repair pathways, including RAD51, a core enzyme of the homologous recombination (HR) pathway. This led to double-stranded break accumulation, decreased cell viability and reduced tumor growth. This dependence on BMAL2 to maintain DNA integrity and cell viability can be a new route to suppress ARID1A-wt OCCC. Consistent with this idea, we found that GW833972A, a cannabinoid receptor agonist, bound BMAL2 with high affinity and facilitated its degradation. This in turn reduced RAD51 expression, leading to an accumulation of DNA damage and decreased cell viability. Xenograft models further demonstrated that GW833972A treatment alone inhibited ARID1A-wt OCCC tumor growth. Together, our findings reveal an essential oncogenic role of BMAL2 and demonstrate that it is an appealing therapeutic target, especially for ARID1A-wt OCCC. Statement of significanceBMAL2 depletion, or degradation by a small molecule, led to DNA damage accumulation, decreased cell viability and reduced tumorigenesis of ARID1A-wildtype ovarian clear cell carcinoma, indicating that BMAL2 is an appealing therapeutic target for treating this malignant disease.

cancer biology↗

Ca2+ Plateau Potentials Reflect Cross-Theta Cortico-Hippocampal Input Dynamics and Acetylcholine for Rapid Formation of Efficient Place-Cell Code

A central tenet of Systems Neuroscience lies in an understanding of memory and behavior through learning rules, but synaptic plasticity has rarely been shown to create functional single-neuron code in a causal and biophysically rooted manner. Behavioral Time-Scale Synaptic Plasticity (BTSP), identified in vivo, holds a great potential for explaining instantaneous hippocampal selectivity emergence by long-term potentiation (LTP), yet the cellular and endogenous mechanisms are unknown, impeding broader conceptualization of this novel rule for its algorithmic, systems-level and theoretical implications. Here, we addressed this gap by in-vivo, ex-vivo, in-silico and computational approaches to seek neurophysiologically inspired protocols for synaptically evoking Ca2+ plateau potentials and inducing potentiation in the CA1. We found induction of BTSP-LTP is best explained by a theta-oscillation-paced, gradually developed cellular state being supported with precisely timed weak ramping inputs. Remarkably, the previously presumed one-shot LTP for in-vivo place-field formation is possible under the influence of muscarinic activation. Through modeling, the notion of acetylcholine-gated BTSP gave rise to a computational advantage for low-interference continual learning. We further demonstrated that biophysics of Transient Receptor Potential (TRPM) and NMDA receptor (NMDAR) channels powerfully shapes the cross-theta dynamics underlying BTSP. These results which cover pre-, post-synaptic and neuromodulatory factors and their timing suggest fundamental principles for graded plateau potentials and hippocampal LTP induction. Overall, our work dissects cellular mechanisms potentially important for a prominent in-vivo hippocampal plasticity phenomenon, and offers a biological basis for framing BTSP as an input-dynamics-aware, neuromodulation-tuned synaptic algorithm.

neuroscience↗

Robust representation and non-linear spectral integration of simple and complex harmonic sounds in layers 4 and 2/3 of primary auditory cortex

Sound harmonicity is foundational in complex auditory stimuli like music and vocalizations but it remains unclear how such spectrally complex stimuli are processed in the auditory cortex (ACtx). Subregions of the auditory cortex process are thought to process harmonic stimuli differently, and secondary ACtx (A2) layer (L) 2/3 is believed to be the most selective. Selective responses to sound features in ACtx are thought to emerge hierarchically starting from A1 L4. Since the spectral complexity of harmonic stacks can range from two to more than ten components, harmonic selectivity and sensitivity might also arise hierarchically across layers and areas. We studied responses to simple and complex harmonic stacks across A1 L4, A1 L2/3, and A2 L2/3 in adult mice using in vivo two-photon microscopy. We found harmonic-sensitive neurons (HN) responding only to harmonic stacks but not to their pure-tone components in all areas at similar proportions. HNs showed non-linear processing of component tones with onset-responsive HNs showing greater nonlinearity, which decreased with harmonic complexity. Co-tuned HNs in A1 L4 exhibited the highest signal correlation, regardless of harmonic complexity. A1 L4 HNs also showed the lowest noise correlation with other neurons. Moreover, A1 L4 HNs achieve robust spectral integration and harmonic sensitivity by receiving diverse inputs and maintaining high signal correlation, ensuring independent, strong responses to harmonic stimuli. Therefore, harmonic sensitivity is present in A1 L4 and is not a unique feature of A2. Thus, tuning to complex spectral sounds is a fundamental property of ACtx and is already established in A1 L4. Significance statementHarmonics are essential in auditory perception, influencing how we process complex sounds like music and speech. This study reveals that neurons in the primary auditory cortex (A1) and secondary auditory cortex (A2) integrate simple and complex harmonic structures with distinct mechanisms of neuronal recruitment. A1 L4 harmonic-sensitive neurons (HNs) demonstrated strong, independent responses through high signal correlation and minimal noise correlation, suggesting a robust mechanism for spectral integration. Our results show that harmonic relationships are already extracted at the input layers of A1, and that HNs show non-linear facilitative integration. Thus, tuning to sounds of complex spectral contents might be a fundamental processing function of the auditory cortex and is already established in A1 L4, which receives major thalamic inputs.

neuroscience↗

Early retinal deprivation crossmodally alters nascent subplate circuits and activity in the auditory cortex during the precritical period

Sensory perturbation in one modality results in adaptive reorganization of neural pathways within the spared modalities, a phenomenon known as "crossmodal plasticity", which has been examined during or after the classic critical period. Because peripheral perturbations can alter auditory cortex (ACX) activity and functional connectivity of the ACX subplate neurons (SPNs) even before the classic critical period, called the precritical period, we investigated if retinal deprivation at birth crossmodally alters ACX activity and SPN circuits during the precritical period. We deprived newborn mice of visual inputs after birth by performing bilateral enucleation. We performed in vivo imaging in the ACX of awake pups during the first two postnatal weeks to investigate cortical activity. We found that enucleation alters spontaneous and sound-evoked activity in the ACX in an age-dependent manner. Next, we performed whole-cell patch clamp recording combined with laser scanning photostimulation in ACX slices to investigate circuit changes in SPNs. We found that enucleation alters the intracortical inhibitory circuits impinging on SPNs shifting the excitation-inhibition balance towards excitation and this shift persists after ear opening. Together, our results indicate that crossmodal functional changes exist in the developing sensory cortices at early ages before the onset of the classic critical period.

neuroscience↗

Evaluation of an image-derived input function for kinetic modeling of nicotinic acetylcholine receptor-binding PET ligands

Development of positron emission tomography (PET) radiotracers that bind with high-affinity to 4{beta}2-type nicotinic receptors (4{beta}2Rs) allows for in vivo investigations of the mechanisms underlying nicotine addiction and smoking cessation. One challenge associated with preclinical PET imaging involves the lack of true tissue reference regions free of specific tracer binding in the rodent brain, impeding accurate quantification of the tracer binding potential. Here, we investigate the use of an image-derived arterial input function for kinetic analysis of radiotracer binding in male and female mice. Two radiotracers were explored in this study: 2-[18F]FA85380 (2-FA), which displays similar pKa and binding affinity to the smoking cessation drug varenicline (Chantix), and [18F]Nifene, which displays similar pKa and binding affinity to nicotine. For both radiotracers, time-activity curves of the left ventricle of the heart displayed similar standardized uptake values (SUVs) across wild type mice, mice lacking the {beta}2 subunit for tracer binding, and acute nicotine-treated mice, whereas typical reference tissue SUVs displayed high variation between groups. Binding potential values estimated from a two-tissue compartment model (2TCM) fit of the data with the image-derived input function were significantly higher than estimates from reference tissue-based estimations. Rate constants of radiotracer dissociation were very slow for 2-FA and very fast for Nifene, similar to the in vitro dissociation rates reported for varenicline and nicotine, respectively. We conclude that use of an image-derived input function for kinetic modeling of nicotinic PET ligands improves quantification compared to reference tissue-based methods, and that the chemical properties of 2-FA and Nifene are suitable to study receptor response to nicotine addiction and smoking cessation therapies.

neuroscience↗

A new immunocompetent rectal cancer model to study radiation therapy

We describe a new mouse model of rectal cancer (RC) involving rapid tumor organoid engraftment via orthotopic transplantation; the resulting RC tumors invaded inward from the mucosal surface and metastasized to distant organs. Histologically the tumors closely resemble human RC and mirror remodeling of the tumor microenvirnoment (TME) in response to radiation. This murine RC model thus recapitulates the pathogenesis of human RC, thereby fulfilling the need for a physiologically accurate model for preclinical efficacy studies.

cancer biology↗

Trapping of Nicotinic Acetylcholine Receptor Ligands Assayed by in vitro Cellular Studies and in vivo PET Imaging

A question relevant to nicotine addiction is how nicotine and other nicotinic receptor membranepermeant ligands, such as the anti-smoking drug varenicline (Chantix), distribute in brain. Ligands, like varenicline, with high pKa and high-affinity for 4{beta}2-type nicotinic receptors (4{beta}2Rs) are trapped in intracellular acidic vesicles containing 4{beta}2Rs in vitro. Nicotine, with lower pKa and 4{beta}2R affinity, is not trapped. Here, we extend our results by imaging nicotinic PET ligands in vivo in mouse brain and identifying the trapping brain organelle in vitro as Golgi satellites (GSats). Two PET 18F-labelled imaging ligands were chosen: [18F]2-FA85380 (2-FA) with varenicline-like pKa and affinity and [18F]Nifene with nicotine-like pKa and affinity. [18F]2-FA PET-imaging kinetics were very slow consistent with 2-FA trapping in 4{beta}2R-containing GSats. In contrast, [18F]Nifene kinetics were rapid, consistent with its binding to 4{beta}2Rs but no trapping. Specific [18F]2-FA and [18F]Nifene signals were eliminated in {beta}2 subunit knockout mice or by acute nicotine injections demonstrating binding to sites on {beta}2-containing receptors. Chloroquine, which dissipates GSat pH gradients, reduced [18F]2-FA distributions while having little effect on [18F]Nifene distributions in vivo consistent with only [18F]2-FA trapping in GSats. These results are further supported by in vitro findings where dissipation of GSat pH gradients blocks 2-FA trapping in GSats without affecting Nifene. By combining in vitro and in vivo imaging, we mapped both the brain-wide and subcellular distributions of weak-base nicotinic receptor ligands. We conclude that ligands, such as varenicline, are trapped in neurons in 4{beta}2R-containing GSats, which results in very slow release long after nicotine is gone after smoking. SignificanceMechanisms of nicotine addiction remain poorly understood. An earlier study using in vitro methods found that the anti-smoking nicotinic ligand, varenicline (Chantix) was trapped in 4{beta}2R-containing acidic vesicles. Using a fluorescent labeled high-affinity nicotinic ligand, this study provided evidence that these intracellular acidic vesicles were 4{beta}2R-containing Golgi satellites. In vivo PET imaging with F-18 labeled nicotinic ligands provided additional evidence that differences in PET ligand trapping in acidic vesicles were the cause of differences in PET ligand kinetics and subcellular distributions. These findings combining in vitro and in vivo imaging revealed new mechanistic insights into the kinetics of weak base PET imaging ligands and the subcellular mechanisms underlying nicotine addiction.

neuroscience↗

Assessment of Brain Glucose Metabolism Following Cardiac Arrest by FDG Positron Emission Tomography

BackgroundCardiac arrest (CA) patients who survived by cardiopulmonary resuscitation (CPR) can present different levels of neurological deficits ranging from minor cognitive impairments to persistent vegetative state and brain death. The pathophysiology of the resulting brain injury is poorly understood and whether changes in post-CA brain metabolism contribute to the injury are unknown. Here we utilized [18F]FDG-PET to study in vivo cerebral glucose metabolism 72 hours following CA in a murine cardiac arrest model. MethodsAnesthetized and ventilated adult C57BL/6 mice underwent 12-minute KCl-induced CA followed by CPR. Seventy-two hours following cardiac arrest, surviving mice were intraperitoneally injected with [18F]FDG (~186 Ci/200 L) and imaged on Molecubes preclinical micro PET/CT imaging systems after a 30-minute awake uptake period. Brain [18F]FDG uptake was determined by the VivoQuant software on fused PET/CT images with the 3D brain atlas. Upon completion of PET imaging, remaining [18F]FDG radioactivity in the brain, heart, and liver was determined using a gamma counter. ResultsGlobal increases in brain [18F]FDG uptake in post-CA mice were observed compared to shams and controls. The median standardized uptake value (SUV) of [18F]FDG for CA animals was 1.79 vs. sham 1.25 (p<0.05) and control animals 0.78 (p<0.01). This increased uptake was consistent throughout the 60-minute imaging period and across all brain regions reaching statistical significance in the midbrain, pons, and medulla. Biodistribution analyses of various key organs yielded similar observations that the median [18F]FDG uptake for brain were 7.04%ID/g tissue for CA mice vs 5.537%ID/g tissue for sham animals, p<0.05). ConclusionsThis study has successfully applied [18F]FDG-PET/CT to measure changes in brain metabolism in a murine model of asystolic CA. Our results demonstrate increased [18F]FDG uptake in the brain 72 hours following CA, suggesting increased metabolic demand in the case of severe neurological injury. Further study is warranted to determine the etiology of these changes.

neuroscience↗

The apical annuli of Toxoplasma gondii are composed of coiled-coil and signaling proteins embedded in the IMC sutures

The apical annuli are among the most intriguing and understudied structures in the cytoskeleton of the apicomplexan parasite Toxoplasma gondii. We mapped the proteome of the annuli in Toxoplasma by reciprocal proximity biotinylation (BioID), and validated five apical annuli proteins (AAP1-5), Centrin2 and a methyltransferase (AAMT). Moreover, Inner Membrane Complex (IMC) suture proteins connecting the alveolar vesicles were also detected and support annuli residence within the sutures. Super-resolution microscopy (SR-SIM) identified a concentric organization comprising four rings with diameters ranging from 200-400 nm. The high prevalence of domain signatures shared with centrosomal proteins in the AAPs together with Centrin2 suggest that the annuli are related and/or derived from the centrosomes. Phylogenetic analysis revealed the AAPs are conserved narrowly in Coccidian, apicomplexan parasites that multiply by an internal budding mechanism. This suggests a role in replication, for example, to provide pores in the mother IMC permitting exchange of building blocks and waste products. However, presence of multiple signaling domains and proteins are suggestive of additional functions. Knockout of AAP4, the most conserved compound forming the largest ring-like structure, modestly decreased parasite fitness in vitro but had no significant impact on acute virulence in vivo. In conclusion, the apical annuli are composed of coiled-coil and signaling proteins assembled in a pore-like structure crossing the IMC barrier maintained during internal budding.

cell biology↗

A rectal cancer model establishes a platform to study individual responses to chemoradiation

Rectal cancer (RC) is a challenging disease to treat that requires chemotherapy, radiation, and surgery to optimize outcomes for individual patients. No accurate model of RC exists to answer fundamental research questions relevant to individual patients. We established a biorepository of 32 patient-derived RC organoid cultures (tumoroids) from patients with primary, metastatic, or recurrent disease. RC tumoroids retained molecular features of the tumors from which they were derived, and their ex vivo responses to clinically relevant chemotherapy and radiation treatment correlate well with responses noted in individual patients tumors. Upon engraftment into murine rectal mucosa, human RC tumoroids gave rise to invasive rectal cancer followed by metastasis to lung and liver. Importantly, engrafted tumors closely reflected the heterogenous sensitivity to chemotherapy observed clinically. Thus, the biology and drug sensitivity of RC clinical isolates can be efficiently interrogated using an organoid-based, in vitro platform coupled with endoluminal propagation in animals.

cancer biology↗

TgCep250 is dynamically processed through the division cycle and essential for structural integrity of the Toxoplasma centrosome

The Toxoplasma centrosome is a unique bipartite structure comprising an inner- and outer-core responsible for the nuclear cycle (mitosis) and budding cycles (cytokinesis), respectively. These two cores remain associated during the cell cycle but have been proposed to function independently. Here, we describe the function of a large coiled-coil protein, TgCep250, in connecting the two centrosomal cores and promoting their structural integrity. Throughout the cell cycle TgCep250 localizes to the centrosome inner-core but resides on both inner- and outer-cores during the onset of cell division. This dynamic localization pattern is associated with proteolysis: the processed version residing on the inner-core. In the absence of TgCep250, stray centrosome inner- and outer-core foci were observed; detachment of the inner-outer-core connection resulted in nuclear partitioning defects. The detachment between centrosome inner- and outer-core was found in only one of the centrosomes during cell division, indicating distinct states of mother and daughter centrosomes. We further dissected the hierarchical organization of centrosome and kinetochore complex through depletion of kinetochore component TgNuf2, which resulted in dissociation of the intact bipolar centrosome from the nuclear periphery. Together, these data suggest that TgCep250 bridges the interaction between the centrosome cores but not between the inner-core and kinetochore.\n\nShort SummaryThe opportunistic apicomplexan parasite Toxoplasma gondii uses a bipartite centrosome to independently regulate mitosis and cytokinesis. Here we report a large coiled-coil protein that functions to integrate the two centrosomal cores for faithful cell division. This study also reveals the layered structural organization of the centrosome/kinetochore complex.

microbiology↗

UniLoc: A universal protein localization site predictor for eukaryotes and prokaryotes

There is a growing gap between protein subcellular localization (PSL) data and protein sequence data, raising the need for computation methods to rapidly determine subcellular localizations for uncharacterized proteins. Currently, the most efficient computation method involves finding sequence-similar proteins (hereafter referred to as similar proteins) in the annotated database and transferring their annotations to the target protein. When a sequence-similarity search fails to find similar proteins, many PSL predictors adopt machine learning methods for the prediction of localization sites. We proposed a universal protein localization site predictor - UniLoc - to take advantage of implicit similarity among proteins through sequence analysis alone. The notion of related protein words is introduced to explore the localization site assignment of uncharacterized proteins. UniLoc is found to identify useful template proteins and produce reliable predictions when similar proteins were not available.

bioinformatics↗