Publications by authors named "Sumit Mukherjee"

Immune checkpoint blockade (ICB) has improved outcomes for patients with head and neck squamous cell carcinoma (HNSCC), but predictive biomarkers remain limited. Here, we use a time-resolved, multi-omic approach in a murine HNSCC model to characterize peripheral immune responses to ICB. Single-cell transcriptomics and T/B cell receptor analyses  reveal early on-treatment expansion of effector memory T and B cell repertoires in responders, preceding tumor regression.

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Accurately predicting which patients will respond to immune checkpoint blockade (ICB) remains a major challenge. Here, we present TIME_ACT, an unsupervised 66-gene transcriptomic signature of tumor immune activation derived from TCGA melanoma data. First, TIME_ACT scores accurately identify tumors with activated immune microenvironments across cancer types.

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Background: The in silico analyses provide evidence supporting the potential of methylation-driven differentially expressed genes as therapeutic targets across cancer types. This leads us to identify novel targets and their associated drug compounds for further progress towards pancreatic cancer treatment.

Objective: To identify targeted drugs based on methylation driven genes identified using bulk multi-omics data and single-cell level data to pinpoint important disease markers.

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The switch in the predominantly expressed transcript isoform of the same gene has been identified as a significant factor in the progression of various types of cancer. These switches can impact the gain or loss of different 3'UTRs, which are hotspots for the binding of microRNAs (miRNAs) and RNA-binding proteins (RBPs). In this study, we found that in cancer-specific dominant expressing transcripts, the binding of miRNA and RBP is disrupted, suggesting that transcript switching could play a part in modulating post-transcriptional gene expression during the progression and development of cancer.

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Background: Pancreatic cancer (PanCa) is one of the most lethal cancers (survival ~ 12%). As the conventional therapeutic interventions are mostly futile, a deep understanding of the disease pathophysiology is an urgent need. Ion channels, located on cell membrane, contribute significantly to cancer hallmarks, through dysregulation of various ion translocation; however, the fundamental mechanisms remain uncertain.

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Genome-wide association studies (GWASs) are often performed on ratios composed of a numerator trait divided by a denominator trait. Examples include body mass index (BMI) and the waist-to-hip ratio, among many others. Explicitly or implicitly, the goal of forming the ratio is typically to adjust for an association between the numerator and denominator.

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Summary: Machine learning-derived embeddings are a compressed representation of high content data modalities. Embeddings can capture detailed information about disease states and have been qualitatively shown to be useful in genetic discovery. Despite their promise, embeddings have a major limitation: it is unclear if genetic variants associated with embeddings are relevant to the disease or trait of interest.

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There exists a long-standing research interest to understand the molecular and signaling interactions between tumor cells and the innate and adaptive immune cells such as dendritic cells, macrophages, NK cells, and B and T cells that occur in the tumor microenvironment (TME) [...

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Article Synopsis
  • Riboswitches are special parts of RNA that act like switches to control gene activity based on specific molecules they detect.
  • They can change their shape and function without proteins, making them useful for creating tools like biosensors and genetic circuits in labs.
  • New computer techniques help scientists design these riboswitches for medical use, which could lead to better treatments for diseases by delivering drugs exactly where they are needed.
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ZnO/layered carbon nanocomposites with varied sizes of ZnO nanoparticles (NPs) were synthesized by mechanical milling of mixture of ZnO NPs and carbon NPs. The NP size of ZnO was controlled with average particle sizes about 19.33, 21.

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Breast cancer (BC) heterogeneity is a key trait of BC tumors with crucial implications on tumorigenesis, diagnosis, and therapeutic modalities. It is influenced by tumor intrinsic features and by the tumor microenvironment (TME) composition of different intra-tumoral regions, which in turn affect cancer progression within patients. In this mini review, we will highlight the mechanisms that generate cancer heterogeneity in BC and how they affect the responses to cancer therapies.

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Article Synopsis
  • - We created PERCEPTION, a computational pipeline designed for personalized cancer treatment by analyzing expression profiles from cancer cells and matching them with therapeutic responses.
  • - PERCEPTION effectively predicts treatment responses in various cancers, including multiple myeloma and breast cancer, while also tracking resistance to therapies like tyrosine kinase inhibitors in lung cancer patients.
  • - It outperforms existing prediction models and promotes the use of single-cell expression data in clinical practice to improve precision oncology outcomes.
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  • Differentially private synthetic datasets help people share data while keeping personal information safe, which is important in areas like health care and charity work.
  • The study looks at how well synthetic data can work instead of real data in machine learning, checking which methods are best for creating useful and fair data.
  • It finds that a specific type of synthetic data (marginal-based) is better than another type (GAN-based) for training machine learning models, showing that it can be just as good as using real data.
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RNA switches respond to specific ligands to control gene expression. They are widely used in synthetic biology applications and hold potential for future RNA-based therapeutic breakthroughs. However, the crux is their precise design.

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Malaria parasites export hundreds of proteins to the cytoplasm of the host red blood cells for their survival. A five amino acid sequence, called the PEXEL motif, is conserved among many exported proteins and is thought to be a signal for export. However, the motif is cleaved inside the endoplasmic reticulum of the parasite, and mature proteins starting from the fourth PEXEL residue travel to the parasite periphery for export.

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Understanding how post-acute COVID-19 syndrome (PACS or long COVID) manifests among underserved populations, who experienced a disproportionate burden of acute COVID-19, can help providers and policymakers better address this ongoing crisis. To identify clinical sequelae of long COVID among underserved populations treated in the primary care safety net, we conducted a causal impact analysis with electronic health records (EHR) to compare symptoms among community health center patients who tested positive (n=4,091) and negative (n=7,118) for acute COVID-19. We found 18 sequelae with statistical significance and causal dependence among patients who had a visit after 60 days or more following acute COVID-19.

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Following each round of replication, daughter merozoites of the malaria parasite Plasmodium falciparum escape (egress) from the infected host red blood cell (RBC) by rupturing the parasitophorous vacuole membrane (PVM) and the RBC membrane (RBCM). A proteolytic cascade orchestrated by a parasite serine protease, subtilisin-like protease 1 (SUB1), regulates the membrane breakdown. SUB1 activation involves primary autoprocessing of the 82-kDa zymogen to a 54-kDa (p54) intermediate that remains bound to its inhibitory propiece (p31) postcleavage.

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Riboswitches are conserved structural ribonucleic acid (RNA) sensors that are mainly found to regulate a large number of genes/operons in bacteria. Presently, >50 bacterial riboswitch classes have been discovered, but only the thiamine pyrophosphate riboswitch class is detected in a few eukaryotes like fungi, plants and algae. One of the most important challenges in riboswitch research is to discover existing riboswitch classes in eukaryotes and to understand the evolution of bacterial riboswitches.

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Article Synopsis
  • - The COVID-19 pandemic, caused by the virus SARS-CoV-2, has become a major health threat, especially when patients become severely ill and face breathing problems.
  • - Scientists are trying to understand how the virus makes people sick, discovering that it affects how our cells work, leading to strange changes in our genetic information called "chimeric transcripts."
  • - This study found 424 unique chimeric transcripts in patients with severe COVID-19, some of which might be linked to the immune system's response and inflammation, helping researchers learn more about why some cases are more serious than others.
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Immune checkpoint blockade (ICB) has emerged as a novel therapeutic tool for cancer therapy in the last decade. Unfortunately, a small number of patients benefit from approved immune checkpoint inhibitors (ICIs). Therefore, multiple studies are being conducted to find new ICIs and combination strategies to improve the current ICIs.

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Unlabelled: Following each round of replication, daughter merozoites of the malaria parasite escape (egress) from the infected host red blood cell (RBC) by rupturing the parasitophorous vacuole membrane (PVM) and the RBC membrane (RBCM). A proteolytic cascade orchestrated by the parasite’s serine protease, subtilisin-like protease 1 (SUB1) regulates the membrane breakdown. SUB1 activation involves primary auto-processing of the 82 kDa zymogen to a 54 kDa (p54) intermediate that remains bound to its inhibitory propiece (p31) post cleavage.

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Article Synopsis
  • Chimeric RNAs are special RNA pieces formed when two genes combine, and they can work differently than the original RNA.
  • They might help cells adapt to new challenges, especially in situations like cancer, where they may play a role in developing diseases and resist treatments.
  • Scientists are discovering that chimeric RNAs not only influence cancer but also have important functions in normal bodily processes, making them an exciting area for future research.
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