Tissue engineering (TE) and xenotransplantation

Website Adam Mickiewicz University

Offer Description

The meniscus, a fibrocartilaginous tissue, stabilizes the knee and distributes load but has limited healing capacity, making it prone to injury. Due to the low success of meniscal repair and meniscectomy, preserving its mechanical properties is crucial. Tissue engineering (TE) and xenotransplantation, particularly using pig models, offer promising solutions. This project aims to advance meniscus TE and xenotransplantation by analyzing the genetic makeup of pig menisci. Using single-cell and long/short-read sequencing, we will build a detailed reference transcriptome, compare it with human data, and explore zonal composition, healing potential, and immune responses.

In-depth analysis will be performed with the state of the art sequencing techniques – single cell approach combined with short and long-read sequencing. Merging this two types of data will allow for building a detailed pig menisci reference transcriptome, which will include whole polyA transcripts with unique splicing variants. Obtained data will be compared with publicly available human data in terms of divergent zonal composition, cell interactions, as well as chondrocyte and epithelial cell types and functions. On the other hand spatial transcriptomics will allow for unrevealing internal organization of cells and define spatial location of those involved in expressing epitopes potentially triggering immune system of the xenograft recipient.

Post doc will be responsible for designing, performing and validating experiments regarding scRNA-seq, optimization and performance of long-read based sequencing and/or spatial transcriptomics assays, NGS data analysis, manuscripts preparation

Where to apply

E-mail

mmankowska@amu.edu.pl

Requirements

Research Field

Biological sciences » Biology

Education Level

PhD or equivalent

Skills/Qualifications

a)PhD degree in biology, biochemistry, biotechnology, agricultural sciences, chemistry or similar and fulfilled formal NCN requirements

https://www.ncn.gov.pl/sites/default/files/pliki/uchwaly-rady/2024/uchw…

b) knowledge of molecular biology techniques and working with in vitro cultures. Experience in Next-Generation Sequencing, DNA/RNA isolation or long-read sequencing is an advantage

c) basic knowledge on NGS data analysis/ bioinformatic analysis is welcome

Languages ENGLISH

Level Excellent

Languages POLISH

Level Good

Research Field Biological sciences » Biology

Years of Research Experience 4 – 10

Additional Information

Benefits

an atmosphere of respect and cooperation

supporting employees with disabilities

flexible working hours

funding for language learning

co-financing of training and courses

additional days off for education

life insurance

pension plan

savings and investment fund

preferential loans

additional social benefits

leisure-time funding

subsidizing children’s vacations

“13th” salary

healthcare package

Eligibility criteria

1. Scientific achievements documented in publications and their compliance with the scope of research topics specified in the competition requirements (0-20 points);

2. Participation in research projects (0-5 points);

3. Participation in internships and training in line with the subject of the project (0-10 points);

4. Other (0-10 points)

Selection process

Competition committee begins working no later than 14 days after the deadline for submission of documents.

Formal evaluation of submitted proposals.

Call to provide additional or missing documents if necessary.

Selection of candidates for the interview stage.

Interviews for candidates who meet the formal requirements.

The committee has the right to request external reviews of candidates’ work or to ask candidates to conduct teaching assignments with an opportunity for student evaluation.

The chair of the competition committee announces the results and informs the candidates. This information will include justification with a reference to candidates’ strengths and weaknesses. Submitted documents will be sent back to candidates.

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