Biology Education

Department of Biology | Lund University

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Diagnostic and prognostic biomarkers for chronic diseases commonly diagnosed in primary health care.

Current research interests centre for primary health care research (CPF) laboratory

CPF experimental research laboratory is part of Center for primary health care research (https://www.skane.se/en/about-us/research/for-dig-som-forskar/center-for-primary-health-care-research/molecular-family-medicine-laboratory/). It was established with a goal to understand the pathophysiology of common diseases diagnosed in primary health care and to develop diagnostic and prognostic biomarkers for risk assessment and prevention of chronic diseases, commonly diagnosed in primary health care.

Research focus

Our focus is mitochondrial genetic and epigenetic changes, their interaction with nuclear genome, and mitochondrial dysfunction in chronic diseases and aging.

The goal of our research is to identify diagnostic and prognostic biomarkers for common chronic diseases such as cardiovascular diseases, cancer, type 2 diabetes mellitus; mental disorders etc. We use clinical samples such as serum/plasma, biopsies and whole blood for analysis and large databases, which include clinical information on patients.

MSc students

We often have thesis projects for master’s students within the projects conducted in our group. Please, contact Ashfaque Memon (Ashfaque.memon@med.lu.se) or Kristina Sundquist (kristina.sundquist@med.lu.se) or Xiao wang (xiao.wang@med.lu.se) for more details.

https://portal.research.lu.se/en/persons/ashfaque-memon

June 19, 2025

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Molecular Biology

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How is CD36, a protein implied in obesity driven type 2 diabetes, regulated?

Contact info: Anna Wendt, anna.wendt@med.lu.se

LU research profile: https://portal.research.lu.se/en/persons/anna-wendt

Start date: Any time between September 2025 and January 2026 (can be discussed)

Length of the project: 45 credits

Project type: master project

Additional information: This project is in collaboration with Jens Largerstedt who will be co supervisor. Link: https://portal.research.lu.se/sv/persons/jens-lagerstedt

Project information:

Aim: The aim of this project is to investigate factors that could regulate the levels of the fatty acid transporter CD36 in insulin producing beta cells.

Hypothesis: We hypothesize that the levels of CD36 in beta cells is regulated by several signals that are strong in obesity and type-2 diabetes such as cytokines (IL4 and IL10) and hyperglycaemia, but also other factors such as microRNAs and medication (dexomethazone). We believe this regulation has an impact on type 2 development especially in obese individuals.

Introduction: Obesity is a strong risk factors for developing type-2 diabetes. There are several mechanisms behind this including the fact that in obese individuals, lipids can accumulate in ectopic tissues such as the liver and skeletal muscles. Type-2 diabetes is the result of both increased insulin resistance and dysfunctional insulin secretion, where ectopic lipid accumulation is a known contributor to insulin resistance. Interestingly, lipids can also wrongfully accumulate in insulin secreting beta cells in the islets causing dysfunctional insulin secretion and even cell death in these cells. We have previously shown that fatty acid transporter CD36 levels are increased in islets from obese individuals with type 2 diabetes. We have also shown that reducing the amount of functional CD36 in the beta cells increase insulin secretion. CD36 is expressed in several tissues in the body and the literature tells us that physiologically, CD36 expression is regulated by different mechanisms in different cell types. In this project we will investigate how CD36 is regulated in the beta cells investigating factors suggested by the literature and our previous studies to be important in CD36 regulation.

Project plan: The experiments in this project will mainly be carried out in the human beta cell line EndoC betaH1 which, like human islets, express CD36.

In our group we have extensive knowledge in investigating microRNA regulation of various proteins. MicroRNAs are short non-coding stretches of RNA that negatively regulate protein expression and thereby play an important role in shaping beta cell function. There are several microRNAs that have been shown to regulate CD36 in other tissues but microRNA regulation of CD36 in beta cells has not been investigated. There are data sets available describing the specific microRNAs expressed in beta cells. As a first step we will cross reference these data sets with known and predicted CD36 specific microRNAs. Candidates from this search will be experimentally tested by overexpressing or downregulating the microRNA in the beta cell line. The effects on CD36 expression can then be determined using qPCR and western blot. To better understand the role of the selected microRNAs we will also investigate the effect of these microRNAs on insulin production and secretion using ELISA.

Depending on the findings and on how much time is left we have the possibility to also investigate how cytokines and pharmaceutical compounds affect CD36 expression. IL-4 is a cytokine that regulates CD36 levels in monocytes. We have previously investigated the role of IL-4 on insulin secretion, but we did not look at the effects on CD36 expression. We still have RNA samples from that study that can be used to investigate CD36 levels in the different treatment groups. Similarly, dexamethasone, a commonly prescribed corticosteroid associated with steroid-induce diabetes, has been linked to CD36 expression. Dexamethasone, again, has been investigated in our group but not in association with CD 36 expression.

Significance: It has been estimated that > 6% of the world’s population live with type-2 diabetes and the numbers continue to rise. One major risk factor for the disease is obesity and it is vital to understand the mechanisms behind obesity-driven type-2 diabetes. This project would help us understand the regulation of lipid influx into the beta cells in health and disease, a knowledge that could be used to treat or, hopefully, prevent beta cell dysfunction in type-2 diabetes.

June 9, 2025

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Molecular Biology

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The role of circulating microRNAs in islet cell cross talk

Contact info: Anna Wendt, anna.wendt@med.lu.se

LU research profile: https://portal.research.lu.se/en/persons/anna-wendt

Start date: Any time between September 2025 and January 2026 (can be discussed)

Length of the project : 45 credits

Project type: master project

Additional information: This project is in collaboration with Lena Eliasson who will be co supervisor. Link: https://www.ludc.lu.se/research/diabetes-islet-cell-exocytosis

 Project information:

Aim: This project aims to examine the role of microRNAs in intra-islet crosstalk. A special focus will be put on exosome-delivered microRNAs and their effects on insulin- and glucagon secretion.

Hypothesis: We hypothesize that microRNA containing extracellular vesicles (EVs) are released from all cell types in the islets of Langerhans. The EVs then travels through the interstitium to neighbouring islet cells, or via the circulation to recipient islet cells further away. Once they reach their designated recipient cells the EVs are taken up in a regulated fashion and the microRNAs can modulate the physiology of the recipient cell. We believe this to be an important, previously unrecognized layer of islet cell regulation.

Introduction: Dysfunctional glucagon and insulin secretion from islet alpha- and beta cells is a hallmark of type-2 diabetes. Given their crucial role in whole body metabolism, both alpha- and beta cells are tightly regulated through several mechanisms including microRNAs. MicroRNAs are short non-coding stretches of RNA that negatively regulate protein expression. We know from work by us and others that they play an important role in beta cell identity and function and the evidence points to an important role for microRNAs in alpha cells too. MicroRNA regulation has previously been assumed to only occur locally within the same cell, but recent publications have demonstrated microRNAs in the circulation both bound to carrier molecules and contained in exosomes (EVs; extra cellular vesicles). The literature shows that EVs can be taken up by recipient cells and regulate their function by delivering their cargo (microRNAs, but also other regulatory proteins). In this project we will investigate local, EV based, microRNA communication within the islets of Langerhans.

Project plan: In the first part of the project, we will investigate microRNAs that are packaged in EVs and released from islet alpha and beta cells. To establish proof of concept we will expose alpha and beta cell lines to biological stress in the form of glucolipotoxic conditions and cytokine treatment (to mimic the diabetic condition) and to standard cell culture conditions (to mimic the healthy state). The growth medium from the cells will then be collected and all EVs released into the media will be purified using exoEasy (Qiagen). The isolated EVs will then be used for two kinds of experiments. Firstly, we will add purified EVs from the mouse beta cell line (stressed or unstressed) to the alpha cell line, or EVs from stressed beta cells to unstressed. We will then investigate secretory capacity (ability to release insulin or glucagon) in the recipient cells using ELISA, insulin/glucagon expression using ELISA and qPCR, cell viability using an MTS assay, and expression of transcription factors with qPCR. The focus will be on hormone secretion and expression and the other experiments will be performed if the time allows.

Secondly, we will isolate microRNAs from the isolated EVs. In a later step we will determine the identity of the microRNAs using small RNA sequencing but for now, if time allows, we will investigate the presence of some candidate microRNAs.

Significance: The potential role of circulating microRNAs as an additional layer of regulation in islet cells is a novel and largely unexplored concept that could provide important insights into diabetes prediction, development, and treatment.

June 9, 2025

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Molecular Biology

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Fungi self healing concrete for sustainable infrastructure and construction maintenance

The main goal of the project is to characterize fungal calcium carbonate precipitation in microfluidic device as a evaluation of feasibility for concrete crack healing.

Description:

Concrete is the world’s most widely used human-made material, yet its production is responsible for significant environmental impacts: generation of hazardous airborne dust, high energy consumption, and substantial CO₂ emissions. Given the impracticality of replacing concrete, our study proposes a sustainable alternative—concrete crack healing using fungi—to prevent reinforcement corrosion and thereby extend structural service life, ultimately reducing carbon output.

The method using fungi to repair cracks involves Microbial-Induced Calcium Carbonate Precipitation (MICP). MICP is a natural process in which microorganisms precipitate calcium carbonate (CaCO₃), thereby sealing cracks and reinforcing concrete surfaces. This process is primarily influenced by carbonate alkalinity and Ca²⁺ concentration. Ureolytic microorganisms play a key role by breaking down urea, increasing bicarbonate levels and pH, which promotes CaCO₃ precipitation in the presence of calcium ions. As the cement concrete is opaque, it is difficult to understand how they grow and precipitate in the cracks. Therefore, we will employ transparent microfluidic devices that mimic concrete’s porous architecture, enabling real-time visualization of fungal hyphal growth and biomineralization at the single-hypha level.

As part of this project, you will work with microfluidic chips to acquire time-lapse images using an inverted microscope, apply AI-driven object detection to quantify crystal nucleation and growth, and automate fluid delivery with advanced microfluidic pumps. Training in all of these techniques will be provided. The candidate must be proficient in standard microbiological methods, including sterile inoculation and nutrient medium preparation.

This project is interdisciplinary task within biology and engineering. You will primarily work with Dr. Hanbang Zou. This project is designed for a MSc student (optimally 60 cr).

Start Date: Flexible

Contact information: Hanbang Zou: Hanbang.zou@biol.lu.se

May 6, 2025

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Biology

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Simulating if plant diversity can buffer plant communities against pollinator losses

We are seeking a Master’s student for a 30, 45, or 60 credit thesis opportunity starting Spring / Summer 2025 to explore the relationship between ambient weather conditions, floral microclimates and resources, and pollinators. Field work will involve floral resource collection and pollinator identification and sampling.

 

Background:

While there is a fairly good understanding of the negative consequences of pollinator declines for crops, we know very little about the consequences for wild plant communities. Wild plant communities are thought to be more resilient to changes in pollinator communities because they comprise many different species that may show different responses (“response diversity”). Such variation arises from the variability of plant species and taxonomic groups to rely – more or less – on pollinators for reproduction. It is predicted yet barely known whether these differences on pollinator dependence can maintain overall plant diversity but significantly shift plant composition.

 

Project description:

To address this gap, we will select at least three plant species with different levels of pollinator dependence (low, medium and obligate insect pollinated). For each of these species we will determine the relationship between pollinator visitation rate and diversity with seed set. This will be done experimentally by bagging flowers of plants until they open, exposing individual flowers to a chosen range of visitation rates and species richness of pollinators and then bagging them again until seed set can be estimated. We will also collect body pollen from flower-visiting insects, record the environmental variables, and account for the surrounding plant species composition. We will then analyze these factors to determine how pollinator effectiveness to plant reproduction is mediated on a per-species basis.

 

You will join us in the field in observing pollinators such as bees, butterflies, and hoverflies. You will learn to develop a research question of your own within the project framework and develop important scientific skills as part of your Master’s studies.

 

Are you interested?

If you would like to know more about this position and working with insect pollinators, please contact Arrian Karbassioon (arrian.karbassioon@cec.lu.se) for more information.

April 23, 2025

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Biology

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qPCR in contaminated Swedish sediments

Hello Molecular Biology students!
 
My name is Iria, and I am a former Molecular Biology student currently doing a PhD at LTH. I am reaching out to see if there are any students interested in working with us in the Water Microbiology group during Fall 2025 and/or Spring 2026.
 
In this project, you will use qPCR to investigate contaminated sediments in Sweden. Due to the unregulated wastewater discharge from the pulp and paper industries into the sea and lakes, fiberbanks (anthropogenically caused fibre-rich sediments) have formed all across Sweden. Recently, they have gained attention as potential greenhouse gas (GHG) sources, emitting carbon dioxide and methane when microbes degrade the fibres anaerobically. But how, where, and how much?
 
Two students have already used qPCR to analyze fiberbank bacterial communities, focusing on methane producers, consumers, and antibiotic resistance genes in samples from lake Vättern.
 
This fall, new samples will be taken in the Kramfors area. You will work with us and several other researchers across Sweden to analyze the biology and chemistry of these sediments. You will help understand how methane production varies within different fiberbanks, and how it is linked to microbial communities. You will develop laboratory skills and gain an understanding of environmental microbiology.
 
In addition to myself and the PI of the group (Catherine Paul), there are other 2 PhD students and several Master’s or 10 week project students working together. We meet weekly to talk about all sorts of things related to our science (and sometimes other things too).
 
We are looking for someone who likes microbiology, data, and statistics, and with some qPCR experience. You will receive support throughout this process. You should be curious about biogeochemical cycles and the impact of climate change on GHG emissions.  
 
If this project sounds interesting, please reply by email (iria.feijoo_rey@tvrl.lth.se) explaining why you are interested and if you are looking for 10 or 20-week projects. Please attach a CV in Swedish or English.
 
Iria Feijóo Rey 
PhD Student/Doktorand
 
Water Resources Engineering | Biotechnology & Applied Microbiology
LTH, Faculty of Engineering | Lund University
Visiting address: John Ericssons v 1
April 16, 2025

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Molecular Biology

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Circadian activities and sleep during breeding in Caspian terns (Stenarna, Björns archipelago, Sweden)

Caspian terns (Hydroprogne caspia) are long-lived migratory seabirds and constitute the largest tern species in the world. We are currently looking for a dedicated master’s students to study the circadian activities, foraging, rest, sleep during breeding in the largest and oldest Caspian tern colony in Sweden (Stenarna, Björns archipelago, Baltic sea). You will be based in a small village of Fågelsundet (NE of Uppsala) between the end of April/early May and the mid July 2025 and observe Caspian terns in their breeding colony at Stenarna. The study of breeding activities including parents of sleep and behavior expressed during courtship, incubation and feeding of Caspian tern pairs will occur via a combination of direct observation on the island (with overnight stays in the hide on the Stenarna) and by using the surveillance camera that is accessible remotely. You will also have the possibility to partake in chick ringing sessions. Any student interested in this project is encouraged to contact Susanne Åkesson for more information and to discuss specific ideas for their MSc projects.

Prof Susanne Åkesson, Department of Biology, Evolutionary Ecology and Disease Biology (Room C221)
Email: susanne.akesson@biol.lu.se

April 8, 2025

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Biology

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Anti-predator behavior and mortality in Caspian terns (Stenarna, Björns archipelago, Sweden)

Caspian terns (Hydroprogne caspia) are long-lived migratory seabirds and constitute the largest tern species in the world. We are currently looking for a dedicated master’s students to study the anti-predator behavior, disturbance and nest failure rates during breeding in the largest and oldest Caspian tern colony in Sweden (Stenarna, Björns archipelago, Baltic Sea). The Master’s student will be based in coastal village of Fågelsundet (Uppsala county) between the end of April/early May and mid July 2025 with the fieldwork team and observe Caspian terns in their breeding grounds on Stenarna. The study of anti-predator behavior, mortality and types of disturbances of breeding Caspian terns will occur via a combination of direct observation on the island (with overnight stays in the hide on the Stenarna), by using the surveillance camera that is accessible remotely and tracking data. The student will also have the possibility to partake in chick ringing sessions on Stenarna. Students interested in this project are encouraged to contact Prof Susanne Åkesson for more information and to discuss specific plans for their MSc projects.

Prof Susanne Åkesson, Department of Ecology, Evolutionary Ecology: susanne.akesson@biol.lu.se

April 8, 2025

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Biology

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Deep learning of molecular expression of cells from tissue images andspatial omics data

Spatial omics provides unpresidential profiling of tumors which can be useful to predict e.g. patient survival and drug response. The Spatial omics methods are however costly and complex thus currently not applicable in the clinical setting. To combat this issue, we have developed a deep learning algorithm “Image2Count” that learns from spatial omics data to predict molecular marker expression from just low-plex immunofluorescence tissue staining. In this project you will apply our developed method on single cell spatial transcriptomics datasets (CosMx or Xenium) to further validate the performance of Image2Counts. You may also use predicted expression data to model patient outcomes.
Contact: anna.sandstrom_gerdtsson@immun.lth.se

April 5, 2025

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Bioinformatics

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Deep learning to identify prognostic tissue niches in ovarian cancer

While pure sequencing-based methods allow for the identification of prognostic markers that might drive disease progression, recent spatial omics approaches add the additional context of spatial organization of tissue, cell location and molecular expression. This enables the stratification of patients by new spatial markers, for example how much immune cells infiltrate into tumor tissue and relating these findings back to molecular expression. Our group uses the GeoMx technology to manually select regions of interest in tumor tissues, each region containing a few hundred cells, for which we collect bulk count data of proteins and/or transcripts. Using deep learning from images to upfront identify cellular neighbourhoods governing patient outcome would objectively inform selection of regions of interest for detailed spatio-molecular profiling using GeoMx. In this project you will work with multiplex immunofluoresence images from a large cohort of ovarian cancer patients. You will be using published neural network methods, like Naronet or Space-GM, to identify tissue niches which can predict clinical outcomes.
Contact: anna.sandstrom_gerdtsson@immun.lth.se

April 5, 2025

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Bioinformatics

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