Biology subjects

Behera, V.

Publications and source records attributed to Behera, V..

4 recordsLinked to original sources

bioRxiv2024

ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images

Hematoxylin and eosin (H&E) is a common and inexpensive histopathology assay. Though widely used and information-rich, it cannot directly inform about specific molecular markers, which require additional experiments to assess. To address this gap, we present ROSIE, a deep-learning framework that computationally imputes the expression and localization of dozens of proteins from H&E images. Our model is trained on a dataset of over 1000 paired and aligned H&E and multiplex immunofluorescence (mIF) samples from 20 tissues and disease conditions, spanning over 16 million cells. Validation of our in silico mIF staining method on held-out H&E samples demonstrates that the predicted biomarkers are effective in identifying cell phenotypes, particularly distinguishing lymphocytes such as B cells and T cells, which are not readily discernible with H&E staining alone. Additionally, ROSIE facilitates the robust identification of stromal and epithelial microenvironments and immune cell subtypes like tumor-infiltrating lymphocytes (TILs), which are important for understanding tumor-immune interactions and can help inform treatment strategies in cancer research.

pathology↗

bioRxiv2024

Conserved principles of spatial biology define tumor heterogeneity and response to immunotherapy

The complexity of tumor microenvironments (TMEs) poses a substantial challenge to understanding tumor heterogeneity and clinical outcomes. By studying an ensemble of 262 diverse solid tumors, we uncovered a conserved, hierarchical architecture of transcriptionally covarying regions we term Spatial Groups (SGs). SGs corresponded to discrete biological units as benchmarked against multiple spatial technologies, and their nested organization revealed context-dependent constraints within tumors. Using SGs for comparing tumors, we derived a pantumor classification where immune spatial heterogeneity was the dominant axis of variation. This classification stratified response to immune checkpoint blockade in an out-of-sample cohort of non-small cell lung cancer patients. Statistical approximation techniques defined a sparse set of protein markers capturing system-level properties of TME spatial biology, demonstrating a framework for distilling genome-wide information into clinically deployable diagnostics. Our findings position the architecture of SGs as a general model unifying TME structure with biological function and clinical translation.

cancer biology↗

bioRxiv2023

An evolution-based framework for describing human gut bacteria

The human gut microbiome contains many bacterial strains of the same species ( strain-level variants). Describing strains in a biologically meaningful way rather than purely taxonomically is an important goal but challenging due to the genetic complexity of strain-level variation. Here, we measured patterns of co-evolution across >7,000 strains spanning the bacterial tree-of-life. Using these patterns as a prior for studying hundreds of gut commensal strains that we isolated, sequenced, and metabolically profiled revealed widespread structure beneath the phylogenetic level of species. Defining strains by their co-evolutionary signatures enabled predicting their metabolic phenotypes and engineering consortia from strain genome content alone. Our findings demonstrate a biologically relevant organization to strain-level variation and motivate a new schema for describing bacterial strains based on their evolutionary history. One Sentence SummaryDescribing bacterial strains in the human gut by a statistical model that captures their evolutionary history provides insight into their biology.

systems biology↗

bioRxiv2022

Assessment of local potato cultivars found in Cis-Himalayan region of West Bengal through morphology and biochemical profiling

Potato is a major global food crop grown for tubers (underground storage stems) that are high in carbohydrates, minerals, and vitamins. The presence of anthocyanins in tuber skin and flesh can have a significant impact on customer preferences. Potatoes are also high in resistant starches, which have a variety of health benefits, including enhanced fullness, cholesterol reduction, and a reduced risk of colon cancer etc. In West Bengal, diabetes is prevalent. Similarly, according to ICMR studies, colon cancer affects 8.9% of all cancer patients in West Bengal cancer which is caused by ill eating habits or the consumption of foods that are low in antioxidants. 5-10% of colon cancers are genetically caused, while the remainder are caused by poor eating habits or the consumption of foods that are low in antioxidants. To address these issues, one strategy is to eat foods with a low glycemic index and high antioxidant content as a staple food. The tuber tissues of the potato (S. tuberosum L.) accumulate various quantities of anthocyanins, which are commonly consumed around the world. Anthocyanins are pigments that range in colour from red to purple and are found throughout the plant kingdom. Anthocyanins are powerful antioxidants that are water soluble. The red skin potato is well-known among the general public. The epidermal layer contains a high quantity of red anthocyanins, which causes the skin to be red. With this background the present study has been undertaken to address the following objectives morphological (quantitative and qualitative traits) and biochemical characterization of local potato cultivars and identification of most stable genotypes based on the anthocyanin content and tuber yield of local potato cultivars. For our recent research 14 local potato cultivar from North Bengal were collected and evaluated for DUS characterization showed wide range of variability with respect to different phenotypic variants of ten characters. Overall predominant DUS characters of local potato cultivars found in North Bengal are medium sized apical length of sprout, short stem height, compact foliage structure, open leaf structure, ovate lanceolate type leaflet shape, purple leaf sprout predominant colour, spherical leaf sprout shape, medium intensity of anthicyanin coloraton at the base, light intensity of anthicyanin coloraton at the tip and weak nature of light sprout pubescence base. The results of the present investigation suggest that local potato cultivars collected from the northern part of West Bengal showed a high level of genetic variation. The differences between genotypes were highly significant at the 1% and 5% alpha level for all characters like tuber yield, length and weight of tuber, length of sprout, chlorophyll content, canopy temperature, and number of tuber per plant, according to the analysis of variance. Three quantitative traits namely tuber yield, tuber breadth, tuber length played major role in the genetic variance. Anthocyanin content had more contribution to diversify the local potato cultures according to biochemical characterization AMMI analysis suggested that Jalpai from CoochBehar is the most stable potato cultivars in respect to anthocyanin content and tuber yield per plant.

plant biology↗