Biology Education

Department of Biology | Lund University

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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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Paleo-Physiology: The effect of Paleo-mimetic environments on aquatic fern species

Plants transitioned onto land approximately 500 million years ago. Since their transition to land, plants have undergone enormous morphological and molecular adaptation, to fit the terrestrial environment. During their long history on land, the Earth has also experienced many changes to its climate and atmosphere, including multiple mass extinctions, suggesting that the morphological and physiological process optimizations observable in plants today must be the effect of numerous rounds of evolutionary development that have fitted to different environments existing in the Earth‘s history. Ferns were the dominant land plant some 300 million years ago, with many lineages still successful in the present. This project aims to understand their optimizations to a changing atmosphere, by growing a set of aquatic ferns in conditions which mimic the environmental conditions present at various times in Earth’s history, in particular the Mesozoic era. This project will involve establishing an effective system to grow two species of aquatic ferns in the genera Azolla and Salvinia in paleo-mimetic atmosphere, in climate chambers, and investigating their functional response to these conditions at the physiological and molecular level. Results will be compared to extant preliminary data for conifers and angiosperms.

Methods used: Growth rate determination, aqua-culture, microscopy, pigment analysis, determination of cyanobacterial symbiont level by qPCR; with possibility of expanding into global omics approaches if a longer project is designed.

Most suitable background knowledge is a combination of plant ecophysiology and molecular biology. However, it is possible to adapt the project for candidates with more or less ecology or molecular cell biology.

Length of project: Flexible, a project of 30-60 credits can be designed.

Start date: To be discussed

Supervisor(s): Allan Rasmusson, Francois du Toit, Biology, LU

Please contact allan.rasmusson@biol.lu.se or stephanus_francois.du_toit@biol.lu.se

April 3, 2025

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Biology Molecular Biology

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Plant-Trichoderma interactions  

Project suggestions 

Supervisor(s): Allan Rasmusson, Bradley Dotson, Dept. Biology, LU 

 Many fungal species of the genus Trichoderma live in symbiosis with plant roots. The fungus produces substances that stimulate plant growth and immune system but also directly attacking other microorganisms, including pathogens. Therefore, some strains of Trichoderma have been used as biocontrol and biostimulants in agriculture, decreasing the need for agrochemical use. The effect of Trichoderma on plants is strongly dependent on the plant genome, which is involved in a mainly unknown intricate interaction with the fungus, likely involving exchange of several signalling biomolecules.  Plant genes that are essential for biostimulation and biocontrol by fungi can be used in breeding, to make plants that can better benefit from biocontrol and biostimulation. However, we presently do not know what genes these are.  

 One possible class of genes that are essential for positive symbiosis with fungi are plant genes encoding proteins that are needed for the plants to avoid being damaged by the Trichoderma. This fungus attacks other microorganisms by secreting enzymes and peptide antibiotics, including so called peptaibols, where alamethicin is the standard model example. This peptide also lyses plant cells, but cellulase secreted from the Trichoderma induces resistance to the alamethicin by modifying the composition of the plant plasma membrane. This process we have named CIRA, and it is likely important for plant symbiosis with Trichoderma, though direct evidence are lacking. We have isolated CIRA-deficient mutants for a range of Arabidopsis genes, indicating that a so far unknown response chain is active. The different mutants belong to the categories Gene expression, Cell wall modifying, Signalling, Membrane lipid modifying and “Unknown”.  

 We can design differently long projects (30-60 credits) at multiple levels: 

  • Whole plant level comparison of genetics of inbred sugar beet breeding lines as expressed in their biostimulation phenotypes. Includes work with molecular markers, genotyping and phenotyping on soil. 
  • Analysis of particular known Arabidopsis mutants, their (lack of) biostimulation by Trichoderma, and the potential involvement of calcium signalling. This will involve sterile plant growth, fluorescent microscopy and measurements using intracellular fluorescent reporters. 
  •  Identification and analysis of novel CIRA genes by mutant screening. Arabidopsis CIRA mutants are identified by a fluorescent phenotypic change and verified by designing PCR assays and analysing a second mutant allele for the same gene. The genes found are analysed in a first line by bioinformatic database mining (e.g. gene expression patterns, protein localisation, post-translational modification, etc). In a longer project additional analyses can be done. Acquired data will be used in order to assemble a preliminary signalling path. 

 For the sugar beet project, background knowledge on plant physiology, genetics and/or agriculture is suitable. For the Arabidopsis projects, background knowledge on plant physiology, molecular cell biology and molecular genetics is suitable. However, a project can usually be designed in accordance with the background of a candidate. 

 For more information and discussions please contact allan.rasmusson@biol.lu.se or bradley.dotson@biol.lu.se. 

April 3, 2025

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Biology

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