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At least 19 recordsLinked to original sources
PubMed1978

An unbiased comparison of organ weights when an inequality in body weight exists.

It is demonstrated in simulations that, if adjustment for inequality in body weight is to be made by covariance analysis and the comparison is carried out in terms of adjusted means of organ weights thus obtained, the test of significance for an organ weight change can be unbiased, or the chances for detecting spurious effects on organ weights remain at about 5% and the chances for detecting treatment effects are far above the 5% irrespective of differences in body weight. Since the use of relative organ weights frequently violates the unbiasedness, it is concluded that if a treated group differs from the control in body weight the comparison of adjusted means of organ weights by covariance analysis will be far more justifiable than that of relative weights.

Analysis of Variance↗
PubMed2026

Unbiased Spatial Proteomics Uncovers Hepatic in Situ Regulation in Alcohol-Associated Hepatitis.

Alcohol-associated hepatitis (AH) is an acute inflammatory form of alcohol-associated liver disease. Previous studies have explored molecular mechanisms associated with AH pathogenesis through bulk liver tissue analysis; however, the heterogeneity of liver tissue and hence the spatial regulation within the AH liver microenvironment remained unaddressed. Here, an unbiased spatial proteomics analysis on the pathologic regions (PRs) of AH liver tissue is presented, including immune cell infiltration foci, lipid droplets, chicken-wire fibrosis, and fibrotic bands. Through combining a highly efficient nanodroplet processing in one pot for trace samples platform with ultrasensitive liquid chromatography-mass spectrometry, this study identified and quantified a total of 5186 unique proteins from PRs isolated in 200-μm-long × 200-μm-wide × 10-μm-thick areas. This in-depth spatial proteome coverage allowed us to discover mechanistic regulations within individual PRs, including compromised resolution of inflammation with infiltrated neutrophils at infiltration foci, increase of mitochondrial and peroxisomal fatty acid β-oxidation at lipid droplets, and differential cellular and extracellular regulations between chicken-wire fibrosis and fibrotic bands. Overall, this study demonstrated a new capability for AH research, revealed the significance of understanding spatial regulation within AH liver tissue, and further facilitated the development of therapeutic strategies at high resolution.

Proteomics↗
PubMed2026

Unbiased screen of human transcriptome reveals an unexpected role of 3'UTRs in translation initiation.

Although most eukaryotic mRNAs require a 5'-cap for translation initiation, some can also be translated through a poorly studied cap-independent pathway. Here we develop a circRNA-based system and unbiasedly identify more than 10,000 sequences in the human transcriptome that contain Cap-independent Translation Initiators (CiTIs). Surprisingly, most of the identified CiTIs are located in 3'UTRs, which mainly promote translation initiation in mRNAs bearing highly structured 5'UTR. Mechanistically, CiTI recruits several translation initiation factors including eIF3 and DHX29, which in turn unwind 5'UTR structures and facilitate ribosome scanning. Functionally, we show that the translation of HIF1A mRNA, an endogenous DHX29 target, is antagonistically regulated by its 5'UTR structure and a new 3'-CiTI in response to hypoxia. Consistently, deletion of 3'-CiTI suppresses cell growth in hypoxia and tumor progression in vivo. Collectively, our study uncovers a new regulatory mode for translation where the 3'UTR actively participate in the translation initiation.

Humans↗
PubMed1978

The precision of unbiased estimates of numerical density of endothelial cells in donor cornea.

The precision of estimates of central corneal endothelial density was studied in 16 human corneas stained by alizarine red and trypane blue. Estimates based on central counts and estimates based on peripheral counts were considered separately. The numerical density was estimated employing an unbiased sampling technique. From central counts estimates with an error of less than five per cent could be obtained. From peripheral counts a maximum precision of mean +/- 12.2 per cent could be obtained. The theoretical maximum precision was calculated by application of a variance component model. The precision of estimates was calculated for 1, 2 and 4 test areas of different sizes. Economy of sampling was evaluated by comparison of the actual precision to the theoretical maximum precision of estimates.

Cell Count↗
PubMed1978

Estimators of the number of objects per area unbiased by edge effects.

A survey is given of principles for obtaining an estimate of the numerical density of profiles not biased by the edge effect in planar samples. Various practical problems of implementation of the principles are discussed. None of the methods represent the ideal combination of independence of assumptions concerning both profiles and frame as well as independence of information external to the frame. The counting rules usually employed in the determination of numerical density are biased and also unnecessarily complicated. For manual work only two unbiased principles apply. The choice between them is mainly determined by the ease by which they are implemented.

Histological Techniques↗
PubMed1978

The design of pharmacological experiments using unbiased models of agonist-antagonist interaction.

The methods which exist to represent agonist-antagonist interactions, and to distinguish between them are sufficient and effective. Their effective use depends on a set of criteria which are not always fulfilled in actual experiments. In some situations it is difficult or impossible to meet these criteria. An alternative representation is proposed, using straightforward geometry, which evades this problem. It also allows experimental data points to be selected without bias and makes it possible to apply orthodox criteria to more restricted sets of data than is otherwise the case. To do this, it is necessary to reverse the ordinary procedure in antagonist assays, by adding successive concentrations of antagonist to a preparation so that a constant response is evoked by squared multiples of the original agonist dose. This can only be done with rapidly reversible antagonists, but the method has been shown to be effective for such drugs.

Drug Antagonism↗
PubMed2026

Integrating genomic additive relationship matrices improves the efficiency in diploid banana breeding.

Partitioning of genetic variance into additive and non-additive components using the pedigree-based best linear unbiased prediction (P-BLUP) model is possible because of the family structure and replicated clones in clonally propagated crops, but this model may overestimate these components. However, the genomic best linear unbiased prediction (G-BLUP) method, which integrates the genetic relationship through molecular marker information reduces the overestimation. Alternatively, a combination of the P-BLUP and G-BLUP, sourcing to create a hybrid matrix that estimates hybrid best linear unbiased prediction (H-BLUP), is proposed. We investigated if integrating molecular information into the clonal model could improve the partitioning of the variance components leading to more accurate estimates of genetic parameters and prediction accuracy of breeding values of 14 key traits in diploid banana. In this study, we used clones of 14 full-sib families from a factorial mating design of four female and five diploid male banana (Musa acuminata) parents, generated at the International Institute of Tropical Agriculture in Arusha. The genomic-based relationship matrices were constructed using a set of 2792 filtered single-nucleotide polymorphism markers. Additive variance and heritability derived from G-BLUP and H-BLUP models reduced bias compared to the P-BLUP model. The H-BLUP estimated the highest prediction accuracies for yield-related and cycling traits, while the P-BLUP model had the highest prediction accuracy estimates for agronomic traits. The use of marker-based models enhances the accuracy of predicting breeding values, contributing to accurate estimates of genetic gain while paving a way for further genomic exploration in diploid banana breeding programs.

Journal Article↗
PubMed2024

ZASP: A Highly Compatible and Sensitive ZnCl2 Precipitation-Assisted Sample Preparation Method for Proteomic Analysis.

Universal sample preparation for proteomic analysis that enables unbiased protein manipulation, flexible reagent use, and low protein loss is required to ensure the highest sensitivity of downstream liquid chromatography-mass spectrometry (LC-MS) analysis. To address these needs, we developed a ZnCl2 precipitation-assisted sample preparation method (ZASP) that depletes harsh detergents and impurities in protein solutions prior to trypsin digestion via 10 min of ZnCl2 and methanol-induced protein precipitation at room temperature (RT). ZASP can remove trypsin digestion and LC-MS incompatible detergents such as SDS, Triton X-100, and urea at high concentrations in solution and unbiasedly recover proteins independent of the amount of protein input. We demonstrated the sensitivity and reproducibility of ZASP in an analysis of samples with 1 μg to 1000 μg of proteins. Compared to commonly used sample preparation methods such as SDC-based in-solution digestion, acetone precipitation, FASP, and SP3, ZASP has proven to be an efficient approach. Here, we present ZASP, a practical, robust, and cost-effective proteomic sample preparation method that can be applied to profile different types of samples.

Proteomics↗
PubMed1978

The relationship of post-stimulus time and interval histograms to the timing characteristics of spike trains.

PST (post-stimulus time) and interval histograms computed from recorded spike trains are related to an average timing characteristics of the spike train. The exact nature of this relationship varies with recording parameters, interfering signals, the histogram bin width, and the duration of the measurement interval. This work describes the conditions under which a PST histogram can serve as an unbiased estimate of the ensemble average of a spike train's intensity and an interval histogram can serve as an unbiased estimate of the probability density function of the interspike intervals. Simulation studies are used to confirm the validity of the theoretical results. As an example of an application, these results are used to analyze recordings of singleunit activity in the eight cranial nerve.

Action Potentials↗
PubMed2026

SpacerScope: binary-vectorized, genome-wide off-target profiling for RNA-guided nucleases without prior candidate-site bias.

The precision of CRISPR/Cas systems is fundamental to their application in plant and animal biotechnology. However, comprehensive sequence-based off-target candidate discovery remains a computational bottleneck, particularly in large and complex genomes. Here we developed SpacerScope, an off-target candidate discovery framework that enables unbiased, genome-wide discovery by leveraging binary vectorization, bitwise filtering, and right-end-anchored alignment. Benchmarking against human CIRCLE-seq data demonstrated that SpacerScope recovered 100% of validated off-target sites (6142/6142), matching the sensitivity of exhaustive algorithms. Crucially, SpacerScope achieved this maximum candidate recovery while substantially reducing computational overhead. In large-genome evaluations, SpacerScope maintained low peak memory usage of 2.20 GiB and achieved substantial runtime improvements over indel-aware comparator tools, including more than 50-fold speedup relative to Cas-OFFinder 3 (544 s versus 29 185 s). Furthermore, comparative analyses in polyploid species, such as the octoploid strawberry, revealed that SpacerScope identified larger sequence-compatible candidate burdens than standard web-based design platforms. Our results establish SpacerScope as a high-speed framework for sequence-based genome-wide off-target candidate discovery across diverse and highly repetitive genomic landscapes. The source code and program was publicly available at https://github.com/charlesqu666/SpacerScope. Short Abstract CRISPR/Cas sequence-based off-target candidate discovery remains computationally challenging in large, repetitive, and polyploid genomes. Existing tools either miss indel-containing candidate sites or incur prohibitive runtime and memory costs. We developed SpacerScope, a binary-vectorized framework that enables unbiased, genome-wide off-target candidate discovery without pre-selected candidate sites. By integrating bitwise filtering with right-end-anchored alignment, SpacerScope recovered 100% of validated off-target sites in human CIRCLE-seq data while using only 2.20 GiB of memory and achieving more than 10-fold speedup over indel-aware alternatives. Evaluation in plant genomes, including rice and octoploid strawberry, further demonstrated SpacerScope's capacity to identify larger sequence-compatible candidate burdens overlooked by standard tools. SpacerScope thus provides a high-speed framework for sequence-based genome-wide off-target candidate discovery across diverse and highly repetitive genomic landscapes, supporting downstream prioritization.

CRISPR-Cas Systems↗
PubMed2026

Fairness-aware supervised hierarchical contrastive semantic learning for sexual dimorphism analysis.

MOTIVATION: Sexual dimorphism is a fundamental biological determinant driving systematic differences in disease susceptibility, progression, and clinical outcomes. However, current sex-combined AI-based genomic models often exhibit algorithmic bias and fail to capture these sex-specific mechanisms, creating a critical barrier to unbiased precision medicine. Ensuring fairness in the context of sexual dimorphism requires understanding and addressing the distinct biological mechanisms functioning in each sex, rather than focusing solely on equalizing predictive performance. RESULTS: We propose a fairness-aware supervised hierarchical contrastive learning approach, called FairHICON, to discover unbiased sex-common and sex-specific predictive features. Evaluations on cancer and asthma transcriptomic datasets demonstrate that FairHICON significantly outperforms state-of-the-art benchmarks, improving predictive performance by up to 9% while effectively reducing the performance gap between male and female sexes. Furthermore, prognostic validation confirms that the identified sex-specific pathways stratify patient survival significantly better within their corresponding sex groups. This validates FairHICON to elucidate the molecular heterogeneity of sexual dimorphism, advancing inclusive precision medicine. AVAILABILITY AND IMPLEMENTATION: The source code and data is available at https://github.com/datax-lab/FairHICON.

Sex Characteristics↗
PubMed2026

Whole-Genome Sequencing Reveals Co-Infection with Bovine Viral Diarrhea Virus, Bovine Enterovirus, and Caprine Parainfluenza Virus Type 3 in a Calf from a Cattle Herd in Xizang, China.

Although mixed viral infections are increasingly recognized as contributors to bovine diarrhea syndrome, diagnosing such co-infections remains challenging, particularly in high-altitude regions where surveillance is limited. In July 2024, a calf presenting with severe diarrhea and respiratory distress was identified on a cattle farm in Linzhi, Xizang, China. Using unbiased whole-genome sequencing (WGS) of the fecal sample, we assembled near-complete genomes of three distinct RNA viruses: two bovine viral diarrhea virus type 1 (BVDV-1) strains (subtypes 1v and 1q, designated BVDV-1/XZ87 and XZ87), one bovine enterovirus (genotype EV-E, designated BEV/XZ87), and one caprine parainfluenza virus type 3 (CPIV3/XZ87). The CPIV3/XZ87 genome exhibited 99.9% nucleotide identity to the goat-derived GS2017-2 strain from Jiangsu, China, raising the possibility of viral spread through livestock trade. Quantitative real-time PCR (RT-qPCR) confirmed the presence of all three pathogens (Ct values: 24.78 for BEV, 25.98 for CPIV3, and 31.28 for BVDV). This study provides the genomic evidence of a triple co-infection involving BVDV-1, BEV, and CPIV3 in Xizang. It illustrates the potential of WGS for unbiased pathogen detection in complex clinical specimens. The near-complete genomes generated here fill critical gaps in the virological surveillance of this epidemiologically under-sampled high-altitude region.

bovine enterovirus↗
PubMed1979

Blindness and reliability in lifetime psychiatric diagnosis.

Confidence in the assignment of lifetime psychiatric diagnosis is of great importance to genetic studies of psychiatric illness. To establish the credibility of a lifetime psychiatric history obtained via a structured interview, two paradigms were constructed to estimate reproducibility of the interview recording process. The first paradigm, simultaneous coding, was used to test comparability of four interviewers independently coding an interview form. Low variance/high reliability was demonstrated. The second paradigm, test-retest, provided for each subject to be interviewed twice, with a mean interim time of 6.7 months (SEM = .39). This paradigm demonstrated high reproducibility of psychiatric diagnosis over time. The overall k value for measurement of diagnostic agreement was .79. Only the diagnostic category of minor depression seemed to evade reliability. It was shown across both paradigms that an interviewer need not be blind (naive to previously held diagnosis) to obtain an unbiased interview. However, it is still recommended that the diagnosis of each interview should be determined by an independent diagnostician.

Adult↗
PubMed2026

A Multifaceted Interplay Among Hemophagocytosis, Interleukin-18, and Type I Interferon Distinguishes Still Disease From Other Autoinflammatory Diseases.

OBJECTIVE: The unknown pathophysiology and the lack of specific features for systemic juvenile idiopathic arthritis and adult-onset Still disease (collectively known as Still disease; SD) delay diagnosis and appropriate treatment. The goal of this study was to identify features and mechanisms that distinguish SD from other systemic autoinflammatory diseases (SAID). METHODS: Using the SomaScan assay and RNA sequencing (RNA-Seq), we determined the plasma proteomes and immune cell microRNA (miRNA) and RNA transcriptomes of 372 patients with SAID, respectively. Proteomic findings were validated by enzyme-linked immunosorbent assays. SD (n = 72) and non-SD SAIDs (n = 300) were compared to identify distinguishing features of SD. We performed integrated and unbiased analyses of all data sets using weighted gene correlation network analysis to identify feature modules that characterize SD and stratify patients. RESULTS: Elevated plasma heme oxygenase 1 (HO-1) and interleukin-18 (IL-18) strongly correlate and characterize SD but do not associate with general inflammation. SD was characterized by ferroptosis in plasma, type I interferon (IFN) signaling in monocyte transcriptomes, and elevated natural killer cell miRNA-146a-5p, which is an IL-18 induced miRNA. Finally, we identified feature modules that distinguish SD from other SAIDs and stratified patients with SD into two distinct subgroups not attributable to disease activity or inflammation but hemophagocytosis. CONCLUSION: This unprecedented large omics data set of SAIDs revealed that complex interactions among hemophagocytosis, IL-18, and type I IFN signaling characterize SD. Furthermore, two distinct subgroups in patients with SD were distinguished by the degree of hemophagocytic activity. Finally, the large proteomics and RNA-Seq data sets generated in this study can serve as an invaluable resource for the further investigation of SD and other SAIDs.

Humans↗
PubMed1979

The estimation of mutation rates when premeiotic events are involved.

When mutation or recombination events occur premeiotically, the distribution of exceptional individuals among the offspring will be "clustered" as opposed to binomial. Even though the exact nature of the clustering is usually unknown, unbiased methods for measuring mutation rate and determining the precision of these measurements are given to replace a biased method now frequently used. When clustering is pronounced, the unweighted average mutation rate is found to be a more efficient estimator than the usual average weighted by family size. Methods of statistical inference and optimal experimental design in the absence of specific knowledge of the mechanism of clustering are also discussed.

Animals↗
PubMed2025

Higher Expression of HPV16 Derived E7_LI Transcript Observed in Men With HIV and Recurrent Anal Cancer.

Squamous cell carcinoma of the anus (SCCA) or anal cancer (AC) is an understudied cancer with a high occurrence rate in people with HIV (PWH), especially men having sex with men (MSM). Furthermore, AC recurs in approximately one-fourth of patients who undergo standard care with chemoradiation therapy (CRT). Using bulk RNA sequencing data of AC obtained from 12 patients with non-recurrent (NR, N&#x2009;=&#x2009;9) or recurrent (R, N&#x2009;=&#x2009;3) cancer, we previously showed upregulated expression of key immune genes in the NR compared to the R group. Although the main causative agent of AC is high-risk human papillomavirus (HPV), association of host and viral RNA transcript expression contributing to AC recurrence has not been extensively studied. The objective of the current study was to determine whether enrichment of specific HPV genotypes and/or HPV gene expression patterns differentiate the two groups and if any specific viral (HPV) and host (human) immune mediators correlate with each other. Using bulk RNA sequencing data and VIRTUS 2, we detected viral RNA reads mapping to seven high-risk and six low-risk HPV types, of which the high-risk HPV16 observed in 83% (10/12) AC tumors (7/9 NR and 3/3 R). Rate of all HPV genomes trended toward a decrease in NR AC isolates and correlation between HPV types was more commonly observed in low-risk ones. Analysis of HPV 16 gene expression profile showed a significantly lower positivity rate for a polycistronic transcript encoding for E7^L1 in the NR group (1/9, NR vs. 3/3, R, p&#x2009;<&#x2009;0.05). An unbiased correlation analysis of HPV-human transcript expression showed a direct correlation between HPV transcripts and human genes involved in cell growth. The data also identified human transcripts showing an inverse correlation with HPV gene expression. These included genes involved in negative regulation of growth, proliferation, and immune response. Taken together, these data indicate that concurrent analyses of viral and host factors in the same tumor can identify potential new therapeutic targets to ameliorate cancer recurrence post-treatment.

Humans↗
PubMed2025

Decorin Evokes a Pro-lysosomal Pathway in Lymphatic Endothelial Cells.

The lymphatic system is critical to the body's immune and circulatory system, and lymphangiogenesis, the development of new lymphatic vessels from pre-existing ones is a significant process capitalized upon by cancer during tumorigenesis. Decorin is a small leucine-rich proteoglycan which we have previously shown to be anti-tumorigenic and a suppressor of lymphangiogenesis. We have also shown that decorin exercises its anticancer properties through its ability to evoke autophagy. Through a comprehensive and unbiased proteomic analysis, we explored the implications of decorin exposure on protein expression within mouse lymphatic endothelial cells. We discovered that decorin enriches several protein pathways, notably proteasomal degradation and lysosomal pathways. Several proteins within these pathways such as lysosome associated membrane protein 1 (Lamp1) and Neural precursor cell expressed developmentally downregulated protein 8 (Nedd8) were differentially regulated following decorin treatment. These proteins and their functional pathways should be considered therapeutic targets and emerge as candidates for further exploration within the context of decorin and cancer suppression.

Journal Article↗