Publications by authors named "Allan Rasmusson"

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  • This study investigates how tumor proliferation and immune response patterns affect survival in breast cancer patients, focusing on ER+HER2- and triple-negative types.
  • Using advanced digital image analysis on biopsy samples, researchers quantified specific markers to identify factors that could predict breast cancer-specific survival (BCSS).
  • Results showed that certain immune cell densities and tumor growth patterns significantly influenced BCSS, suggesting potential for personalized treatment strategies based on these biomarkers.
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  • The study focused on 41 patients meeting the Milan criteria for liver cancer and found that 43.9% experienced a relapse after surgery.
  • Researchers analyzed tissue samples to assess the presence of CD8+ lymphocytes, correlating their density near tumor edges with surgical outcomes.
  • Key findings suggest that lower variability in CD8+ density and R1 surgical resection significantly predict shorter relapse-free survival, indicating potential for better preoperative assessments to enhance treatment effectiveness.
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  • The management of kidney transplant patients heavily relies on biopsy diagnoses, which currently lack consistency and reproducibility in assessing rejection features and tissue changes.
  • This study introduces a computational method that uses deep learning to automate the assessment of kidney biopsy histopathology, specifically focusing on the tubulointerstitial area.
  • By analyzing a large dataset of biopsy images, the researchers were able to identify distinct patterns of acute and chronic injury, offering a more precise approach for classifying and understanding kidney allograft conditions.
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  • * This study applied digital image analysis (DIA) to analyze whole slide images from 254 ER-positive HER2-negative BC patients, focusing on the prognostic value of ITH indicators, particularly using Haralick's texture metrics for Ki67.
  • * The findings revealed that Ki67 entropy, which assesses the spatial arrangement of tumor cells, is a significant predictor of BC-specific survival, surpassing the traditional proliferation rate evaluations and highlighting the importance of ITH in prognosis.
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Despite advances in diagnostic and treatment technologies, predicting outcomes of patients with hepatocellular carcinoma (HCC) remains a challenge. Prognostic models are further obscured by the variable impact of the tumor properties and the remaining liver parenchyma, often affected by cirrhosis or non-alcoholic fatty liver disease that tend to precede HCC. This study investigated the prognostic value of reticulin and collagen microarchitecture in liver resection samples.

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Besides their central function in respiration, plant mitochondria play a crucial role in maintaining cellular homeostasis during stress by providing "retrograde" feedback to the nucleus. Despite the growing understanding of this signaling network, the nature of the signals that initiate mitochondrial retrograde regulation (MRR) in plants remains unknown. Here, we investigated the dynamics and causative relationship of a wide range of mitochondria-related parameters for MRR, using a combination of Arabidopsis fluorescent protein biosensor lines, in vitro assays, and genetic and pharmacological approaches.

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Introduction: Our previous research demonstrated that CD8+ cell density profiling using a hexagonal grid-based digital image analysis method provides predictors of patient outcomes after liver resection due to hepatocellular carcinoma (HCC). Continuing our study, we have further investigated the applicability of the methodology to patients receiving a liver transplant for HCC.

Methods: The retrospective study enrolled patients with HCC who underwent liver transplantation (LT) at the Vilnius University Hospital Santaros Clinics between 2007 and 2020.

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Plant mitochondria represent the largest group of respiring organelles on the planet. Plant mitochondrial messenger RNAs (mRNAs) lack Shine-Dalgarno-like ribosome-binding sites, so it is unknown how plant mitoribosomes recognize mRNA. We show that "mitochondrial translation factors" mTRAN1 and mTRAN2 are land plant-specific proteins, required for normal mitochondrial respiration chain biogenesis.

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Article Synopsis
  • BCG immunotherapy is the main treatment for high-risk non-muscle invasive bladder cancer, but its effectiveness can vary based on the immune response in the tumor environment.
  • The study analyzed data from 157 patients to assess the influence of CD8+ cell density gradients at the tumor's epithelium-stroma interface on recurrence-free survival (RFS) post-BCG treatment.
  • Results indicated that CD8+ density gradient indicators, along with clinical factors such as tumor history and differentiation, can significantly enhance the prediction of RFS in NMIPUC patients.
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Assembly of the functional complexes of the mitochondrial respiratory chain requires sophisticated and efficient regulatory mechanisms. In plants, the subunit composition and assembly factors involved in the biogenesis of cytochrome c oxidase (complex IV) are substantially less defined than in mammals and yeast. In this study, we cloned maize (Zea mays) Small kernel 11 (Smk11) via map-based cloning.

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  • Hepatocellular carcinoma (HCC) frequently develops in patients with chronic liver inflammation, and CD8 lymphocytes play a dual role by both fighting tumors and damaging healthy liver cells.
  • The study examined CD8 lymphocyte density at tumor boundaries and surrounding liver tissue using advanced digital image analysis, aiming to assess its prognostic value alongside clinical and surgical data.
  • Key findings showed that certain CD8 density patterns and clinical factors were independent predictors of overall survival (OS) and relapse-free survival (RFS), allowing for the development of a combined risk score to categorize patients based on their chances of survival post-surgery.
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  • Microstructure studies often struggle with the challenges of microscope lighting, which needs to enhance biological features while avoiding distortion effects.
  • This paper presents a new technique to improve lighting by focusing on joint computation of phase and irradiance rather than using models based on virtual light rays.
  • The study aims to enhance the analysis of biological microstructures while providing additional insights into the computational methods for studying complex arrangements in biological tissues.
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  • Downy mildew, caused by a specific type of microorganism, poses a major threat to quinoa farming in the Andes and globally, yet no molecular studies have been conducted on this interaction.
  • Researchers developed methods to examine quinoa's response to downy mildew at the gene expression level, isolating and maintaining the pathogen to track disease progression in different quinoa varieties.
  • Findings showed that one quinoa variety, Kurmi, exhibited slower disease progression and better tolerance compared to another variety, Maniqueña Real, with specific defense genes being significantly activated in response to infection, indicating potential markers for breeding more disease-resistant quinoa.
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Breast cancer (BC) categorized as human epidermal growth factor receptor 2 (HER2) borderline [2+ by immunohistochemistry (IHC 2+)] presents challenges for the testing, frequently obscured by intratumoral heterogeneity (ITH). This leads to difficulties in therapy decisions. We aimed to establish prognostic models of overall survival (OS) of these patients, which take into account spatial aspects of ITH and tumor microenvironment by using hexagonal tiling analytics of digital image analysis (DIA).

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  • Symbiotic fungi of the genus positively influence the growth and disease resistance of various plants, but their molecular interactions are not well understood.
  • This study examines the gene expression changes in two quinoa cultivars when co-cultivated with specific fungal strains (BOL-12 and T22) using RNA sequencing and RT-qPCR.
  • The cultivar Kurmi shows a significant activation of defense-related genes, particularly germin-like genes, compared to the Real cultivar, indicating that different quinoa cultivars have distinct responses to these fungal interactions.
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Mistletoes (Viscum) and close relatives are unique among flowering plants in having a drastically altered electron transport chain. Lack of complex I genes has previously been reported for the mitochondrial genome, and here we report an almost complete absence of nuclear-encoded complex I genes in the transcriptome of Viscum album. Compared to Arabidopsis with approximately 40 nuclear complex I genes, we recover only transcripts of two dual-function genes: gamma carbonic anhydrase and L-galactono-1,4-lactone dehydrogenase.

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We here describe measurements of respiratory enzymes in situ, which can be done on very small cell samples and make mitochondrial isolation unnecessary. The method is based on the ability of the fungal peptide alamethicin to permeate biological membranes from the net positively charged side, and form nonspecific ion channels. These channels allow rapid transport of substrates and products across the plasma membrane, the inner mitochondrial membrane, and the inner plastid envelope.

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The integrity of isolated mitochondria can be estimated functionally using enzymatic activities or the permeability of mitochondrial membranes to molecules of different sizes. Thus, the permeability of the outer membrane to the protein cytochrome c, the permeability of the inner membrane to protons, and the permeability of the inner membrane to NAD, NADH and organic acids using soluble matrix dehydrogenases as markers have all been used. These assays all have limitations to how the data can be converted into a measure of integrity, are differently sensitive to artifacts and require widely variable amounts of material.

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The isolation of mitochondria from potato tubers (Solanum tuberosum L.) is described, but the methodology can easily be adapted to other storage tissues. After homogenization of the tissue, filtration and differential centrifugation, the key step is a Percoll density gradient centrifugation.

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The study of plant mitochondria started in earnest around 1950 with the first isolations of mitochondria from animal and plant tissues. The first 35 years were spent establishing the basic properties of plant mitochondria and plant respiration using biochemical and physiological approaches. A number of unique properties (compared to mammalian mitochondria) were observed: (i) the ability to oxidize malate, glycine and cytosolic NAD(P)H at high rates; (ii) the partial insensitivity to rotenone, which turned out to be due to the presence of a second NADH dehydrogenase on the inner surface of the inner mitochondrial membrane in addition to the classical Complex I NADH dehydrogenase; and (iii) the partial insensitivity to cyanide, which turned out to be due to an alternative oxidase, which is also located on the inner surface of the inner mitochondrial membrane, in addition to the classical Complex IV, cytochrome oxidase.

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Horticultural crops have a low tolerance to dehydration. In this paper, we show that the reversible electroporation (200 monopolar, rectangular pulses of 50 µs pulse duration, 760 µs between pulses and nominal field strength of 650 V/cm) of Thai basil leaves followed by 24 h resting before hot air drying at 40 °C enhanced the survivability of the tissues at certain levels of dehydration (moisture ratio = 0.2 and 0.

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Intron splicing is an essential event in post-transcriptional RNA processing in plant mitochondria, which requires the participation of diverse nuclear-encoded splicing factors. However, it is presently unclear how these proteins cooperatively take part in the splicing of specific introns. In this study, we characterized a nuclear-encoded mitochondrial P-type pentatricopeptide repeat (PPR) protein named EMP603.

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Assessment of intratumoral heterogeneity and tumor-host interaction within the tumor microenvironment is becoming increasingly important for innovative cancer therapy decisions because of the unique information it can generate about the state of the disease. However, its assessment and quantification are limited by ambiguous definitions of the tumor-host interface and by human cognitive capacity in current pathology practice. Advances in machine learning and artificial intelligence have opened the field of digital pathology to novel tissue image analytics and feature extraction for generation of high-capacity computational disease management models.

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Intranuclear birefringent inclusions (IBI) found in various cell types in paraffin-embedded tissue sections have long been considered to be a tissue processing artifact, although an association with biological processes has been suggested. We applied polychromatic polarization microscopy to image their spatial organization. Our study provides evidence that IBI are caused by liquid paraffin-macromolecular crystals formed during paraffin-embedding procedures within cells and potentially reflect an active transcriptional status.

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Tumor-associated immune cells have been shown to predict patient outcome in colorectal (CRC) and other cancers. Spatial digital image analysis-based cell quantification increases the informative power delivered by tumor microenvironment features and leads to new prognostic scoring systems. In this study we evaluated the intratumoral density of immunohistochemically stained CD8, CD20 and CD68 cells in 87 cases of CRC (48 were microsatellite stable, MSS, and 39 had microsatellite instability, MSI) in both the intratumoral tumor tissue and within the tumor-stroma interface zone (IZ) which was extracted by a previously developed unbiased hexagonal grid analytics method.

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