Biology subjects

Imran, A.

Publications and source records attributed to Imran, A..

5 recordsLinked to original sources

bioRxiv2025

Predicting cellular responses to perturbation across diverse contexts with STATE

Cellular responses to perturbations are a cornerstone for understanding biological mechanisms and selecting drug targets. While machine learning models offer tremendous potential for predicting perturbation effects, they currently struggle to generalize to unobserved cellular contexts. Here, we introduce SO_SCPLOWTATEC_SCPLOW, a transformer model that predicts perturbation effects while accounting for cellular heterogeneity within and across experiments. SO_SCPLOWTATEC_SCPLOW predicts perturbation effects across sets of cells and is trained using gene expression data from over 100 million perturbed cells. SO_SCPLOWTATEC_SCPLOW improved discrimination of effects on large datasets by more than 30% and identified differentially expressed genes across genetic, signaling and chemical perturbations with significantly improved accuracy. Using its cell embedding trained on observational data from 167 million cells, SO_SCPLOWTATEC_SCPLOW identified strong perturbations in novel cellular contexts where no perturbations were observed during training. We further introduce Cell-Eval, a comprehensive evaluation framework that highlights SO_SCPLOWTATEC_SCPLOWs ability to detect cell type-specific perturbation responses, such as cell survival. Overall, the performance and flexibility of SO_SCPLOWTATEC_SCPLOW sets the stage for scaling the development of virtual cell models.

systems biology↗

bioRxiv2025

Interactive effect of Moringa oleifera mediated green nanoparticles and arbuscular mycorrhizal fungi on growth, root system architecture, and nutrient uptake in maize (Zea mays L.)

The synergistic interaction between green nanoparticles (NPs) and mycorrhizal fungi promotes plant growth by improving nutrient absorption, optimizing root function, and stress resistance. In this study, we explored the impact of arbuscular mycorrhizal fungus (AMF) Funnaliformis mosseae and Moringa oleifera mediated green NPs viz; iron oxide (FeO), zinc oxide (ZnO), and Zn doped FeO (Zn/Fe) NPs, both individually and in combination, on maize growth, root system architecture, organic acids production, mycorrhizal colonization, and nutrients uptake. Prior to NP synthesis, metabolomic analysis of Moringa oleifera leaves was conducted to characterize its bioactive compounds. The structural properties of green synthesized NPs confirmed by characterization using scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, UV-Vis spectrophotometry, and X-ray diffraction (XRD). The results showed that all individual and combined treatments of AMF and green NPs significantly enhanced maize growth compared to the control. Among the single NP treatments, Zn/Fe NPs exhibited superior performance over FeO and ZnO. However, when combined with AMF, ZnO and Zn/Fe NPs induced the highest growth responses than FeO NPs. The ZnO NPs proved most compatibility with AMF for improving colonization in maize roots, whereas FeO and Zn/Fe NPs reduced colonization efficiency. Furthermore, combination of AMF and ZnO NPs (AMF+ ZnO) noted as most prominent treatment for improvement of maize growth compared to other all treatments, highlighting the potential of AMF+ ZnO NPs for sustainable agricultural applications.

plant biology↗

bioRxiv2024

Advancing White Blood Cell Detection: A Multi-Domain Dataset for Morphological Analysis and Addressing Sparse Annotation Challenges

Leukemia is 10th most frequently diagnosed cancer and one of the leading causes of cancer-related deaths worldwide. Realistic analysis of Leukemia requires White Blook Cells (WBC) localization, classification, and morphological assessment. Despite deep learning advances in medical imaging, leukemia analysis lacks a large, diverse multi-task dataset, while existing small datasets lack domain diversity, limiting real-world applicability. To overcome dataset challenges, we present a large-scale WBC dataset named Large Leukemia Dataset (LLD) and novel methods for detecting WBC with their attributes. Our contribution here is threefold. First, we present a large-scale Leukemia dataset collected through Peripheral Blood Films (PBF) from several patients, through multiple microscopes, multi-cameras, and multi-magnification. To enhance diagnosis explainability and medical expert acceptance, each leukemia cell is annotated at 100x with 7 morphological attributes, ranging from Cell Size to Nuclear Shape. Secondly, we propose a multi-task model that not only detects WBCs but also predicts their attributes, providing an interpretable and clinically meaningful solution. Third, we propose a method for WBC detection with attribute analysis using sparse annotations. This approach reduces the annotation burden on hematologists, requiring them to mark only a small area within the field of view. Our method enables the model to leverage the entire field of view rather than just the annotated regions, enhancing learning efficiency and diagnostic accuracy. From diagnosis explainability to overcoming domain-shift challenges, presented datasets could be used for many challenging aspects of microscopic image analysis. The datasets, code, and demo are available at: https://im.itu.edu.pk/sparse-leukemiaattri/.

pathology↗

bioRxiv2024

Assessing Cognitive Functions Remotely Using a Music-Game-Like Program

There is a growing need to develop ways of assessing cognitive functions remotely and providing interventions using a web-based approach. The Ipsilon Test is a music-based cognitive assessment and training tablet application. On each trial, it presents simplified musical notation with colours, spatial cues, and gestural references so that users can translate spatial information into motor actions by tapping on the screen. In this study, we examined the correlation between the performance of a group of healthy older adults on the Ipsilon test and standard measures of cognitive function--a total of 30 participants aged 58 and over were recruited for the study. Before and after one week of training using the web-based program Ipsilon, all participants completed an online version of the Montreal Cognitive Assessment (MoCA) and the visual Stroop task. Of the participants recruited, 22 participants completed the Ipsilon training and cognitive testing. In our sample, performance on the Ipsilon test was generally high, with all participants scoring above the chance level. Importantly, we found a correlation between Ipsilon test performance and pre-Ipsilon MoCA scores. In addition, participants who scored higher on the Ipsilon test also showed improvement in the visual Stroop task after Ipsilon training, particularly in the ability to inhibit irrelevant information. These results suggest the Ipsilon test is a practical web-based cognitive assessment and training tool. Future research will explore its relationship with other cognitive tests and its diagnostic power for differentiating individuals with normal cognition from those with cognitive disorders.

neuroscience↗

bioRxiv2023

Immunogenicity of COVID-19 vaccines and their effect on the HIV reservoir in older people with HIV

Older individuals and people with HIV (PWH) were prioritized for COVID-19 vaccination, yet comprehensive studies of the immunogenicity of these vaccines and their effects on HIV reservoirs are not available. We followed 68 PWH aged 55 and older and 23 age-matched HIV-negative individuals for 48 weeks from the first vaccine dose, after the total of three doses. All PWH were on antiretroviral therapy (cART) and had different immune status, including immune responders (IR), immune non-responders (INR), and PWH with low-level viremia (LLV). We measured total and neutralizing Ab responses to SARS-CoV-2 spike and RBD in sera, total anti-spike Abs in saliva, frequency of anti-RBD/NTD B cells, changes in frequency of anti-spike, HIV gag/nef-specific T cells, and HIV reservoirs in peripheral CD4+ T cells. The resulting datasets were used to create a mathematical model for within-host immunization. Various regimens of BNT162b2, mRNA-1273, and ChAdOx1 vaccines elicited equally strong anti-spike IgG responses in PWH and HIV- participants in serum and saliva at all timepoints. These responses had similar kinetics in both cohorts and peaked at 4 weeks post-booster (third dose), while half-lives of plasma IgG also dramatically increased post-booster in both groups. Salivary spike IgA responses were low, especially in INRs. PWH had diminished live virus neutralizing titers after two vaccine doses which were rescued after a booster. Anti-spike T cell immunity was enhanced in IRs even in comparison to HIV- participants, suggesting Th1 imprinting from HIV, while in INRs it was the lowest. Increased frequency of viral blips in PWH were seen post-vaccination, but vaccines did not affect the size of the intact HIV reservoir in CD4+ T cells in most PWH, except in LLVs. Thus, older PWH require three doses of COVID-19 vaccine to maximize neutralizing responses against SARS-CoV-2, although vaccines may increase HIV reservoirs in PWH with persistent viremia.

immunology↗