Sidney Altman was born on May 7, 1939, in Montreal, the second son of Victor and Ray (Arlin) Altman. His mother was a textile worker; his father ran a grocery store.

The family had little money, but Dr. Altman, in an autobiographical sketch for the Nobel Institute, credited his parents with setting a good example that stayed with him for the rest of his life. It was from them, he wrote, that I learned that hard work in stable surroundings could yield rewards, even if only in infinitesimally small increments.

Dr. Altman became fascinated by science as a boy first by news of the detonation of the first atomic bomb, when he was 6 years old, and then by seeing the periodic table of the elements, which, he wrote, gave him a sense of the elegance of scientific theory and its predictive power.

He had intended to enroll at McGill University in his hometown, but he changed course when he was accepted by the Massachusetts Institute of Technology. He studied physics at M.I.T., but in his final semester, out of curiosity, he took an introductory course in molecular biology and found it compelling.

After M.I.T., he spent 18 months in a graduate physics program at Columbia University, but he said he was not really happy there. He wanted to be an experimental scientist and there was no opportunity at Columbia, so he quit and went back to Canada.

The next summer, he was offered a job writing about science for an institute in Boulder, where he could also take summer courses.

One night he wound up at a party talking to George Gamow, a well-known physicist, cosmologist and writer. Dr. Altman explained that he was dissatisfied with physics but fascinated with biophysics. Dr. Gamow suggested that he go to the University of Colorado in Denver, which had a good biophysics department.

Here is the original post:
Sidney Altman, Who Stumbled on a Breakthrough in Genetics, Dies at 82 - The New York Times

1Department of Virology and Molecular Biology, National Animal Health Diagnostic and Investigation Center, Sebeta, Oromia, Ethiopia; 2Department of Veterinary Laboratory Technology, Ambo University, Ambo, Oromia, Ethiopia

Correspondence: Morka Dandecha, Department of Veterinary Laboratory Technology, Ambo University, Ambo, Oromia, Ethiopia, Tel +251-910309600, Email [emailprotected]

Background: Newcastle disease is a major viral disease of poultry. The virus is a major problem for chickens in Ethiopia and there is a scarcity of updated information on the virological and molecular status of confirmation of Newcastle disease outbreak cases in the country.Methods: Newcastle disease outbreaks were investigated from February 2021 to October 2021 in central Ethiopia to isolate and detect the virus by cell culture and reverse transcriptase PCR. A total of 44 pooled tissue specimens were sampled from sick and recently dead chickens showing typical clinical signs of Newcastle disease. Virus isolation were performed using DF-1 cells and detection of the virus was done by real-time PCR.Results: Out of 44 collected tissue samples, 38.63% (17/44) were positive on DF-1 cells. The result shows 17 of the clinically sick and dead chickens were positive for the virus by reverse transcriptase polymerase chain reaction. Based on the sample type, 54.54% (6/11) of the brain samples, 36.36% (4/11) of the intestines, 54.54% (6/11) of lung and trachea, 9% (1/11) of pooled liver, kidney, heart, and spleen samples were positive. Viruses were isolated in the proportions 37.5% (6/16), 25% (2/8), 50% (2/4), 25% (1/4), 50% (2/4) and 50% (4/8) from Sebeta, Bishoftu, Sululta, Nifas Silk, Kolfe and Yeka, respectively.Conclusion: This study showed that Newcastle disease is a major viral disease causing death of chickens in the study area. Therefore, any control approach should focus on the appropriate characterization of the virus strain causing the outbreak in the study area.

Keywords: central Ethiopia, chickens, isolation, Newcastle diseases virus, RT-PCR

Ethiopia is gifted with numerous livestock populations. The total poultry population in the country is 56.06 million.1 This poultry population contains both exotic and indigenous chickens. They are widely distributed in rural and peri-urban areas where they play important roles in income generation, food production and social interactions.2 The production of these chickens is affected by different obstacles such as disease, management problems and genetics of the chickens. The primary cause of the reduction of production and productivity of the chickens is a viral disease.3 Newcastle disease is the most common viral disease of these birds and is often responsible for various disorders, including gastrointestinal, nervous system, respiratory system and non-gastrointestinal disorders.4,5 Newcastle disease virus (NDV) is an RNA virus with a negative sense and composed of six genes, which are generated through RNA editing.68

Newcastle disease virus affects a widespread range of poultry globally.9 It is a major cause of economic harm worldwide.10 In many undeveloped countries, it is widespread and causes great problems in poultry farming.11,12 In Ethiopia, the disease was first reported in 197213 and it can cause up to 80% death in poultry farms. The virus affects the nervous, respiratory and digestive systems.14,15 The clinical signs and severity of NDV can vary depending on the strain of the virus. According to variation in strains, the death of chickens in a flock ranges from 90100%.14,16,17 There is recurrent occurrence of the disease in commercial poultry farms in different parts of Ethiopia. But, confirmations of outbreaks are uncommon and inadequate data exist on the type of virus responsible for these outbreaks. Generally, information about the isolation and molecular detection of the virus from chickens is insufficient in Ethiopia in general and in the study area in particular. Therefore, the objectives of this study were the isolation and molecular detection of Newcastle disease virus from outbreak cases in the study area.

The study was performed from February 2021 to October 2021 in a selected area of central Ethiopia (Bishoftu, Addis Ababa, Sululta and Sebeta) where NDV outbreaks occurred in commercial poultry farming system, as indicated in Table 1.

Table 1 Detail About the Study Areas

Chickens of both sexes and all ages managed under commercial poultry farm systems were included. Chickens that had experienced an outbreak of Newcastle disease were used for outbreak investigation.

A cross-sectional study design was performed during an active outbreak to isolate and detect NDV from suspected outbreak cases. The study focused on suspected cases of ND. Before the beginning of any outbreaks, proper information channels from concerned bodies regarding the outbreaks were collected through different contact addresses. Depending on the reported outbreak case of ND, a field investigation was conducted at the area of outbreaks, clinical information was recorded and appropriate samples were collected from chickens showing signs suggestive of ND infection.

Representative tissue specimens were collected from different organs. About 44 tissues from ill and recently dead chickens showing distinctive clinical signs of ND were sampled. Necropsy examination was performed and affected tissues, i.e. brain, lung and trachea, pooled tissue of liver, spleen, kidney and heart, and intestines were sampled from the same chickens. Collected samples were submitted to the laboratory using an icebox and stored at 80C for further processing.

Tissue specimens were processed by chopping them into small pieces and grinding with sterile sand in mortar and pestle at the virus isolation laboratory. Four tissue specimens, i.e. four brain, four lung and trachea, four pooled tissue of spleen, kidney, liver and heart and four intestines that were sampled from the same outbreak case were pooled to increase the concentration of virus. The suspension of tissue samples (10% (w/v)) were mixed with sterile phosphate buffer saline (PBS) which contains penicillin (100 IU/mL) and streptomycin (1000 g/mL). The suspension was filled into a sterile Falcon tube and centrifuged at 3000 rpm, +4C for 20 minutes. The supernatants were collected and filtered with 0.45 L then 0.1 mL of the samples were inoculated onto confluent DF-1 cells which were cultured on 24-well plates and maintained with DMEM containing 2% calf serum and incubated at 37C for one week with daily follow-up. The cytopathic effect (CPE) was determined based on a characteristic of NDV on the cell line. Samples that did not show a cytopathic effect were continued up to the third passage. The samples that revealed characteristics of the cytopathic effect were harvested for molecular detection of the virus.

Viral RNA extraction was conducted on all positive cell culture samples using Qiagen viral RNA mini kit according to the manufacturers instructions. To detect NDV in the isolated samples the specific prime designed M-gene of Newcastle disease virus was used and specific Forward Primer M+4100- 5-AGT GAT GTG CTC GGA CCT TC-3, Reverse Primer M-4220- 5CCT GAG GAG AGG CAT TTG CTA-3, Probe M+4100- 5FAM- TTC TCT AGC AGT GGG ACA GCC -TAMRA 3 were used to detect M-gene based NDV. Master mix reagents per 25 L reaction were used from Qiagen one-step RT-PCR kit: 5 L PCR buffer (5x), 0.5 L of each primer forward and reverse (20 pmol), 1 L of probe (6 pmol), 0.8 L of deoxynucleotide triphosphates, 1.25 L of 25 mM MgCl2, 0.5 L of 13.3 u/L of RNase inhibitor (Promega), 1 L Qiagen enzyme mix, 6.45 L Rnase free water and 8 L of extracted RNA. Real-time PCR was performed using an Applied Biosystems 7500 fast real-time PCR machine. For amplification, reverse transcription at 50C for 30 min and at 95C for 15 min was followed by 40 cycles of denaturation at 94C for 10 s, annealing at 52C for 30 s and extension at 72C for 10 s.18 Probe-based fluorescent dye signals were calculated at the extension step of each cycle, and the cycle threshold (Ct) for each sample was observed. The samples that have a Ct value <35 were positive and samples that have >35 Ct value were negative for M genes based on rRT-PCR.19

The common clinical signs suggesting Newcastle disease recorded in this study were twisting of the head (Figure 1A), depression (Figure 1B), paralysis of wings (Figure 1C) and paralysis of legs and twisting of the head (Figure 1D). During outbreak investigation of 9 poultry farms a total of 13,000 chickens reared under semi-intensive and intensive poultry farms were examined for Newcastle disease. Out of 13,000 chickens observed 2443 chickens were showing clinical signs and 1233 chickens had died. Overall rates of 18.8%, 9.5% and 50.5% morbidity, mortality and case fatality, respectively were observed in the study area (Table 2).

Table 2 Status of NDV in the Study Area

Figure 1 Clinically diseased chickens suspected of NDV infection. Symptoms include (A) twisting of the head, (B) depression, (C) paralysis of the wings and (D) paralysis of the legs and twisting of the head.

The NDV infected chickens were examined and gross pathological changes were recorded. Postmortem examination of recently dead and humanely killed chickens infected with NDV showed hemorrhagic ulcer in the intestine wall (Figure 2A), enlarged spleen (Figure 2B), degeneration and multifocal necrosis in the liver (Figure 2C) and pin-point hemorrhages in proventriculus (Figure 2D).

Figure 2 Gross pathological lesions of NDV-infected chickens. (A) intestine of infected chicken showed hemorrhagic foci that appeared dark red from external view, (B) enlarged spleen, (C) degeneration and multifocal necrosis in the liver, (D) proventriculus of infected chickens showing ecchymotic hemorrhages.

The present study revealed that among 44 pooled tissue samples of naturally infected chickens, NDV was isolated from 17 (38.63%), as indicated in Table 3. Cytopathic effect was observed in all inoculated samples with clear, small plaques on the DF-1 cell line early from the 3rd day of inoculation. An initial cytopathic effect was observed as small round cells which reflected the light. The foci and syncytia formation occur after a time which causes cell death and detachment from tissue culture plate (Figure 3B arrows).

Table 3 Number of Samples Collected and Cultured Positive Samples from Different NDV Suspected Outbreak Investigations of Chickens

Figure 3 ND virus grown on DF-1 cells. (A) uninfected monolayer of DF-1 cell and (B) DF-1 cells infected by NDV showing cytopathic effect (arrows).

In this finding, the virus was isolated from different tissue organs collected from field outbreaks. The descriptions of the isolates by sample type are presented in the Table 4.

Table 4 Newcastle Disease Isolation Rate from Tissue Samples of Chickens

A total of 17 isolate samples of RNA were extracted and tested by reverse transcriptase-polymerase chain reaction (RT-PCR) for M gene-based NDV and all of the isolates were positive by RT-PCR. The samples and control RT-PCR amplification curve are indicated in Figure 4B. Ct values ranging from 20.734.00 of positive samples, 22.0 ct value of positive control and no ct value for negative control were observed by Applied Biosystems 7500 PCR machine and are indicated in Figure 4B.

Figure 4 Amplification plot result of rRT-PCR. (A) shows rRT-PCR positive samples result with ct value and (B) shows positive and negative controls.

Newcastle disease is a severe viral infection existing worldwide including Ethiopia. The current study was performed for isolation and molecular detection of the virus from active outbreaks.

The current study revealed that distinctive clinical signs of NDV such as twisting of the head and neck, paralysis of wings and legs, depression, ruffling of feather and gasping were observed in the affected chickens. This result was in agreement with the results of previous studies.2022 A previous report18 shows enlargement and inflammation of eyes, diarrhea, dizziness and lack of appetite were reported which is a slight variation from this finding. However, the clinical signs of Newcastle disease vary depending on the host organs affected.

From a total of 13,000 chickens observed during outbreaks, 2443 were identified as diseased chickens and 1233 had died. The overall morbidity, mortality and case fatality rates observed in infected chickens in the study area were 18.7%, 9.5% and 50.5%, respectively. According to one study21, 21.21% mortality was reported from chickens exposed to outbreaks of ND. Similarly, Saidu and Abdu23 reported a 97.7% mortality rate which is higher than the present finding. This variation might be associated with the immunity status of the chickens and strain of the virus.

Necropsy was conducted on infected chickens with NDV and gross pathological changes were recorded. Postmortem finding of infected chickens with NDV showed hemorrhagic ulcer in the intestine wall, enlarged spleen, degeneration and multifocal necrosis in the liver and pin-point hemorrhages in proventriculus. These results were in line with some other reports.21,2426 Hemorrhagic laryngotracheitis, congestion and edema of the lungs have been reported27; the reported lesion is different from the present study, and this variation may be due to different strains of NDV that can affect different organs of the chickens. In this study, the observed lesions were indicative of ND depending on the observed gross pathological lesions. Nevertheless, pathogenicity examinations are obligatory to be conducted to estimate the virulence of the virus.7

The current study showed that from 44 pooled specimens of necropsy examination, NDV was isolated from 38.63% (17/44) samples using DF-1 chicken fibroblast cell line. Isolation of virulent NDV from infected chickens confirms the presence of NDV in the study area. The isolated virus from clinical samples reveals characteristics of NDV cytopathic effect, i.e. rounding of cells, formation of syncytia and cell death. Relatively large number of syncytia was found in the isolates which is related with the virulence of the virus. This finding was in close agreement with previous reports16,27 which found that NDV was isolated from suspected birds and the same CPE characteristics were reported in their findings. In the present study, the virus was isolated from different organs of infected chicken samples, with 54.54% from the brain, 54.54% from the lung and trachea, 36.36% from the intestine and 9% from pooled liver, kidney, spleen and heart. According to one report16, NDV was isolated 100% from the spleen, brain, trachea and colon by using chicken embryo fibroblast cell, which is higher than the present study. This variation may be due to the virus load in those organs during infection.

Reverse transcriptase real-time PCR was used, due to its high sensitivity, high specificity, efficiency and mostly its capacity for detecting the virus. Newcastle disease virus was detected from pooled tissue of 17/44 (38.63%) examined chickens. All 17 isolated viruses were positive by reverse transcriptase real-time PCR. The amplification of matrix gene from isolate samples confirmed the chickens were exposed to Newcastle disease. This finding was in agreement with a report28 which isolated and identified the virus from suspected Newcastle disease in Ethiopia by reverse transcriptase real-time PCR.

The present study revealed that NDV was isolated and detected from active outbreaks in the study areas. It is the primary viral disease in poultry farms in these areas and causes significant economic losses. The current finding also showed that NDV is the most important viral infection causing the death of birds managed in the different production systems in the study areas. Fast identification and isolation of the virus are very important for the prevention and control of the infection. The occurrence of ND in poultry farms of the study area should be considered as the causative agent of poultry death in the study areas. Therefore, further molecular characterization is required to identify the strain of virus circulating in the study area. Awareness training for chicken farmers about the impacts of Newcastle disease infection and regular strategic vaccination are essential.

The data obtained from field and laboratory results were recorded, coded and entered into a Microsoft Excel spreadsheet. Statistical analysis was performed by Statistical Package for Social Sciences (SPSS) version 20. Descriptive statistics including frequencies and percentages were used and results were summarized using tables.

An ethical clearance certificate for this research was obtained from National animal health diagnostic and investigation center (Reference ARSERC/EC010/2020).

The authors would like to thank the national animal health diagnostic and investigation center for full laboratory access and opportunity during the laboratory work.

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

The authors report no conflicts of interest in this work.

1. CSA. Central Statistical Agency Agricultural Sample Survey. CSA; 2018.

2. Ebsa YA, Harpal S, Negia GG. Challenges and chicken production status of poultry producers in Bishoftu, Ethiopia. Poult Sci. 2019;98(11):54525455. doi:10.3382/ps/pez343

3. Cattoli G, Fusaro A, Monne I, et al. Emergence of a new genetic lineage of Newcastle disease virus in West and Central Africaimplications for diagnosis and control. Vet Microbiol. 2010;142(34):168176. doi:10.1016/j.vetmic.2009.09.063

4. Bello MB, Yusoff K, Ideris A, Hair-Bejo M, Peeters BPH, Omar AR. Diagnostic and vaccination approaches for Newcastle disease virus in poultry: the current and emerging perspectives. Biomed Res Int. 2018;2018:7278459. doi:10.1155/2018/7278459

5. Mayo MA. A summary of taxonomic changes recently approved by ICTV. Arch Virol. 2002;147(8):16551663. doi:10.1007/s007050200039

6. Xiao S, Nayak B, Samuel A, et al. Generation by reverse genetics of an effective, stable, live-attenuated newcastle disease virus vaccine based on a currently circulating, highly virulent Indonesian strain. PLoS One. 2012;7(12):e52751. doi:10.1371/journal.pone.0052751

7. OIE. Manual of diagnostic tests and vaccines for terrestrial animals mammals, birds and bees. Newcastle Dis. 2012;1:555574.

8. Jin J, Zhao J, Ren Y, Zhong Q, Zhang G. Contribution of HN protein length diversity to Newcastle disease virus virulence, replication and biological activities. Sci Rep. 2016;6(1):36890. doi:10.1038/srep36890

9. Madadgar O, Karimi V, Nazaktabar A, et al. A study of Newcastle disease virus obtained from exotic caged birds in Tehran between 2009 and 2010. Avian Pathol. 2013;42(1):2731. doi:10.1080/03079457.2012.752791

10. Alexander DJ. Ecology and epidemiology of Newcastle disease. In: Avian Influenza and Newcastle Disease. Milano: Springer; 2009:1926.

11. Mohamed MH, Kumar S, Paldurai A, Samal SK. Sequence analysis of fusion protein gene of Newcastle disease virus isolated from outbreaks in Egypt during 2006. Virol J. 2011;8(1):237. doi:10.1186/1743-422X-8-237

12. Rezaeianzadeh G, Dadras H, Safar A, Ali M, Nazemshirazi MH. Serological and molecular study of Newcastle disease virus circulating in village chickens of Fars province. J Vet Med Anim Health. 2011;3(8):105111.

13. Aschalew ZS, Bewket R. New Castle Disease in Ethiopian Animal Health Year Book. Animal and Plant Health Regulatory Directorate; 2011:2223.

14. Nanthakumar T, Kataria RS, Tiwari AK, Butchaiah G, Kataria JM. Pathotyping of Newcastle disease viruses by RT-PCR and restriction enzyme analysis. Vet Res Commun. 2000;24(4):275286. doi:10.1023/A:1006403017578

15. Tiwari AK, Kataria RS, Nanthakumar T, Dash BB, Desai G. Differential detection of Newcastle disease virus strains by degenerate primers based RT-PCR. Comp Immunol Microbiol Infect Dis. 2004;27(3):163169. doi:10.1016/j.cimid.2003.09.002

16. Haque MH, Hossain MT, Islam MT, Zinnah MA, Khan MSR, Islam MA. Isolation and detection of Newcastle disease virus from field outbreaks in broiler and layer chickens by reverse transcriptionpolymerase chain reaction. J Vet Med. 2010;8(2):8792.

17. Li X, Qiu Y, Yu A, et al. Degenerate primers based RT-PCR for rapid detection and differentiation of airborne chicken Newcastle disease virus in chicken houses. J Virol Methods. 2009;158(12):15. doi:10.1016/j.jviromet.2009.01.011

18. Wise MG, Suarez DL, Seal BS, et al. Development of a real-time reverse-transcription PCR for detection of newcastle disease virus RNA in clinical samples. J Clini Microbiol. 2004;42(1):329338. doi:10.1128/JCM.42.1.329-338.2004

19. OIE. Manual of Diagnostic Tests and Vaccines for Terrestrial Animals: Mammals, Birds and Bees Paris, France. OIE; 2013:214.

20. Alexander D. Newcastle disease, other avian paramyxoviruses, and pneumovirus infections. Dis Poultry. 2003;11:89107.

21. Bereket M, Beilul G, Fitsum N, Yodahi PA, Yohana S. Outbreak investigation of Newcastle disease virus from vaccinated chickens in Eritrea. Afr J Biotech. 2017;16(32):17171723. doi:10.5897/AJB2017.15899

22. Khorajiya JH, Pandey S, Ghodasara PD, et al. Patho-epidemiological study on Genotype-XIII Newcastle disease virus infection in commercial vaccinated layer farms. Vet World. 2015;8(3):372381. doi:10.14202/vetworld.2015.372-381

23. Saidu LA, Abdu PA. Outbreak of Viscerotropic Velogenic form of Newcastle disease in vaccinated six weeks old pullets. J Vet Sci. 2008;7(1):3740.

24. Murree B, Nizamani ZA, Leghari IH, et al. Pathology and transmission of experimental velogenic viscerotropic newcastle disease in wild pigeons, broiler and aseel chickens. Sci Int. 2016;28(4):39653971.

25. Ashraf A, Shah MS, Habib M, et al. Isolation, identification and molecular characterization of highly pathogenic Newcastle disease virus from field outbreaks. Braz Arch Biol Technol. 2016;59. doi:10.1590/1678-4324-2016160301

26. Uddin MA, Islam K, Sultana S, et al. Seroprevalence of antibodies against Newcastle disease in layer chicken at Coxs Bazar, Bangladesh. Res J Vet Pract. 2014;2:3639. doi:10.14737/journal.rjvp/2014/2.2.36.39

27. Dodovski A, Krstevski K, Dzadzovski IA, Naletoski I. Molecular detection and characterization of velogenic Newcastle disease virus in common starlings in Macedonia. Vet Arh. 2015;85(6):635645.

28. Belayheh G, Kyule MN, Melese BA, Fufa D. Isolation and identification of Newcastle disease virus from outbreak cases and apparently healthy local chickens in South West Shewa, Ethiopia. Int J Microb Res. 2016;6(1):58.

29. Bemnet G, Ameha Y, Alemayehu Z, Jemanesh KA, Tekalign T. (Trinidad) - Fertilizer N effects on yield and grain quality of durum wheat. Trop Agric. 2003;80(2):16.

30. Tesfaye A. Steady-State Ground Water Flow and Contaminant Transport Modelling of Akaki Well Field and Its Surrounding Catchment. M.Sc thesis submitted to the International Institute for geo-information science and earth observation; 2009.

31. Dawit L, Addis MA, Gari G. Distribution, seasonality and abundance of Sotoxys flies in selected districts of central Ethiopia. World Appl Sci. 2012;19(7):9981002.

32. Berhanu KT, Nengcheng C, Xiang ZA, Dev N. Urbanization in small cities and their significant implications on landscape structures: the case in Ethiopia. Sustainability. 2020;12:1235. doi:10.3390/su12031235

See the original post:
Isolation and molecular detection of Newcastle disease virus | VMRR - Dove Medical Press

For years, Ahna Skop didnt feel like she fit the mold of a scientist.

She comes from a family of artists. Her father, Michael Skop, was a pupil of a famous Croatian artist, Ivan Metrovi, and her dad brought in students from all over the world to an art school they had at their house. Her mother, Kathleen Prince Skop, is a ceramicist and retired high school art teacher.

"Here I am as a scientist," said the geneticist and professor at the University of Wisconsin-Madison. "You might assume that I inherited the recessive gene for science."

In science, Skop entered a male-dominated field.

She has dyslexia and a genetic disease that brings her chronic pain. She's open about the barriers she faces, so her students can see her as a real person.

While she was getting her doctorate in cell and molecular biology at UW-Madison, she remembers one bad grade in particular. It was a "low point in my career." She had enough failures that she questioned if she belonged in science after all.

Skop recalls the moment when John White, who invented the laser-scanning confocal microscope, told Skop about a D he got in math once. Her anxiety around testing didnt define who she could be professionally, she realized.

"That was the first time in my life I heard someone that famous just turn to me and say, 'You know, that class didnt matter, and I was able to do this remarkable thing,'"she said. "Just that one statement changed the course of my life forever."

Last month, Skops likeness was one of 120 3D-printed life-size orange figures on the National Mall in Washington to celebrate Womens History Month. The Smithsonian on Twitter called it "the largest collection of statues of women ever assembled."

Skop joined WPRs "The Morning Show" recently to discuss her background, her teaching style, breaking the mold and how she finds art in genetics.

The following interview has been edited for clarity and brevity.

Kate Archer Kent: How did it feel to be one of those 120 American women scientists who had a statue?

Ahna Skop: Well, it's quite intimidating and thrilling at the same time to be 3D printed and out there as a sculpture. But I'm quite honored, and it has been remarkable to meet so many amazing other women scientists doing unbelievably awesome stuff. So, it has been very cool to be part of this program.

KAK: What was it like being 3D printed?

Stay informed with WPR's email newsletter.

AS: I walked into a booth that is like a bigger suntan booth or something. And there are a lot of lights up around the edge, and they had almost like a "Project Runway" salon next to this. It was kind of fun, a different thing than (what) I normally experience. Then we had our hair and makeup done, and we went in this booth and then a bunch of lights went off. It scanned our body in three dimensions, and it was very intimidating because nothing is hidden in this capture of ourselves.

KAK: Some students find science and math intimidating. How do you approach that?

AS: The classes they took in high school, they realize they have to memorize everything. But really, that's not what science is about. We know things, but were problem solvers, which is super fun.

Science can be intimidating because people think about all these other things and how those exams may have been to memorize things. But I think the way science is being taught now is changing because we're doing this project-based learning in the classroom. That's where the fun is. And that's what I like about science because I study how cells divide, which is important when it goes wrong, that's what happens in cancer. So, I want to figure that out and be a problem solver.

KAK: Can you explain your grading system?

AS: I realized that (with) a lot of students, particularly women and underrepresented students, there's often anxiety in the classroom. And it dawned on me that in the end, grades don't matter. It's what you get out of that course. So why not flip this idea: Instead of students working up toward 100 points and most people know how to do all the math about losing points out of 100 why not give them all the points on the first day, and everyone gets an A. The goal is to try to maintain all those points. But I give them about 800 points because you don't really know how many points that you've lost.

There are lots of students on the first day (who say), "I've never felt more confident on a first day of class than I did in yours." And I think that's why I use this unique strategy. I want them to feel welcome and have the ability to succeed, right? The point is not to tear people down. It's to build people up. And I think that growth mindset theory that that is based on helps students understand that their point of view and what they bring to the table is important. It also levels the playing field because a lot of students have biases about where they are in the classroom.

KAK: How has having dyslexia and being a visual learner shaped how you relate to students?

AS: If you tell your students who you are on the first day, it allows them to see you in a different light that you're actually a real person behind there. You're not this untouchable scientist. Students (say), "I never met a scientist who admitted in public that they were dyslexic." I said, "My parents told me (Albert) Einstein was dyslexic." Lots of famous scientists actually were. You realize that dyslexia is a gift.

KAK: Lets talk about your passion for cell mitosis. You call it "nature painting itself." What do you see?

AS: When I first saw the process of mitosis coming from a background of (an) artist, I was completely gobsmacked (about) how beautiful this process was. And then when I started to ask about it, there's a lot known, but there's still a lot we don't know about the process. Coming from a family of artists and seeing something so beautiful and to be able to then ask the question: How does that work? I really appreciate the beauty in science. If it wasn't beautiful, I probably wouldn't study it.

View original post here:
Breaking the mold: UW-Madison geneticist bridges art and science, partakes in National Mall display - Wisconsin Public Radio

Medical Laboratory Technologist (bioanalyytikko) position is immediately available at the Biomedicum Functional Genomics Unit (FuGU) at the HiLIFE Genome Analysis Infrastructure (HGI).

The position includes implementation of next-generation sequencing (NGS) and targeted genomics services together with the FuGU team. FuGU provides a wide variety of nucleic acid QC analyses and genomics technology services including NGS technologies, NanoString and Olink systems as well as bioinformatics services. In the position, you will have the responsibility of day-to-day genome profiling analyses as well as implementation of novel services related to these technologies.

The position requires hands-on experience and basic knowledge on genome profiling technologies. Excellent communication and team working skills in interaction with the FuGU core facility personnel as well as with domestic and international customers is required.

Ideal candidate has BSc degree from University of Applied Sciences, MSc in genetics, molecular biology or cell biology or equivalent degree. Excellent team working and communication skills are required. Successful implementation of your tasks will require ability to work independently and in a team of core facility and research personnel. An ideal candidate is also competent of having presentations in laboratory courses and/or other educational events within HiLIFE network. Strong candidate will have existing experience from next-generation sequencing.

The salary is based on the job requirement scheme for specialist and support staff according to the salary system of the Finnish universities. In addition, the appointee will be paid a salary component based on personal work performance. In total, the gross salary is about 2500-2800 EUR per month depending on the qualifications and merits of the applicant.

The appointment is fixed term until the end of August 2023, starting as soon as possible. Extension beyond this is possible depending on the availability of funding. The position will be filled with 6 months probationary period.

Please submit your application, together with the required attachments as a single pdf file, through the University of Helsinki Recruitment System via the button Apply for the position. To apply, please submit motivation letter, CV and names of two referees. You may fill in only the mandatory fields (*) in the Recruitment System. The above-mentioned documents must be written in Finnish or in English. The Applicants who are employees of the University of Helsinki should submit their application via SAP Fiori (https://msap.helsinki.fi).

The closing date of the application is April 30, 2022 (23:59 EET), but the position is filled as soon as a suitable candidate is found.

Further information: Dr. Outi Monni: outi.monni@helsinki.fi (tel. +358 040 7639302).

For more information on Biomedicum Functional Genomics Unit, please visit https://www2.helsinki.fi/en/infrastructures/genome-analysis/infrastructu... and https://www2.helsinki.fi/en/researchgroups/oncogenomics.

Due date

30.04.2022 23:59 EEST

See more here:
Medical Laboratory Technologist job with UNIVERSITY OF HELSINKI | 289858 - Times Higher Education