It’s tempting to cast the role of women in STEM (Science, Technology, Engineering, and Math) as one of struggles and battles because of their sex, rather than as one of contributions because of their minds. But for Women’s History Month and this Diversity in Science Carnival #14, our focus is the role of women in the enterprise of STEM. There’s more to a woman than her sex and her struggles in science–there is, after all, the enormous body of work women have contributed to science.
Our history is ongoing, but we can start with a look back. Thanks to the efforts of the Smithsonian Institution Archives, we can put faces to the names of some of the female STEMmers of history. In a presentation of photographs in an 8 by 9 space, we can see the images of 72 women who contributed to the enterprise of STEM, many of them involved with the Smithsonian in some capacity. As their clothes and the dates on the photos tell us, these women were doing their work in a time when most women didn’t even wear pants.
Some are Big Names–you’ve probably heard of Marie Curie. But others are like many of us, women working in the trenches of science, contributing to the enterprise of STEM in ways big and small. Women like Arlene Frances Fung, whose bio tells us she was born in Trinidad, went to medical school in Ireland, and by 1968 was engaged in chromosome research at a cancer institute in Philadelphia. From Trinidad to cancer research, her story is one of the millions we could tell about women’s historical contributions to science, if only we could find them all. But here there are 72, and we encourage you to click on each image, look at their direct gazes, ponder how their interest in science and knowledge trumped the heavy pressures of social mores, and discover the contributions these 72 women made, each on her own “little two inches wide of ivory.”
For more on historical and current women in science, you can also see Double X Science’s “Notable Women in Science” series, curated by Adrienne Roehrich.
And then there are the women STEMmers of today, who likely are, according to blogger Emma Leedham writing at her blog Pipettes and Paintbrushes, still underpaid. Leedham also mulls here what constitutes a role model for women–does it require being both a woman and a scientist, or one or the other?
Laurel L. James
Laurel L. James, writing at the University of Washington blog for the school’s SACNAS student chapter, answers with her post, “To identify my role as a woman in science: I must first honor my mother, my family and my past.” Her mother was the first “Miss Indian America,” and Laurel is a self-described non-traditional student at the school, where she is a graduate student in forest resources. She traces her journey to science, one that involved role models who were not scientists but who, as she writes, showed her “how to hang onto the things that are important with the expectation of getting something in return all the while, persevering and knowing who you are; while walking with grace and dignity.” I’d hazard that these words describe many a woman who has moved against the currents of her society to contribute something to the sciences.
A great site, Steminist.com, which features the “voices of women in science, tech, engineering, and math,” runs a series of interviews with modern-day STEMmers, including Double X Science’s own Jeanne Garbarino, and Naadiya Moosajee, an engineer and cofounder of South African Women in Engineering. You can follow Naadiya on Twitter here. Steminist is also running their version of March Madness, except that in honor of Women’s History Month, we can choose “Which historical women in STEM rock (our) world.” The 64 historical STEMinists in the tourney are listed here and include Emily Warren Robling (left), who took over completion of the Brooklyn Bridge when her husband’s health prevented his doing so; she is known as the first woman field engineer. Double X Science also has a series about today’s women in science, Double Xpression, which you can find here.
Today, you can find a woman–or many women–in STEM just about anywhere you look, whether it is as a government scientist at NOAA like Melanie Harrison, PhD, or at NASA. It hasn’t always been that way, and it can still be better. But women have always been a presence in STEM. In the 18thand 19th centuries, astronomer Caroline Herschellabored away through the dark hours of just about every night of her adult life, tracking the night sky. Today, women continue these labors, and STEM wouldn’t be what it is today without women like Herschel willing to stay up all night with the skies or spend days on end in the field or lean over a microscope for hours just to add a tiny bit more to what we know about our world and our universe.
For women in science, we’re there–at night, in the lab, in the field–because we love science. But as the non-science role models seem to tell us, we stick to it–and can stick with it–because we had role models in and out of science who showed us that regardless of our goals, our attitudes and willingness to move forward in spite of obstacles are really what drive us to success in STEM careers. Among the links I received for this carnival was one to Science Club for Girls, which is sponsoring a “Letter to My Young Self” roundup for Women’s History Month. The letters I’ve read invariably have that “stick with it” message, but one stood out for me, and I close with a quote from it.
It’s a letter by Chitra Thakur-Mahadik, who earned her PhD in biochemistry and hemoglobinopathy from the University of Mumbai and served as staff scientist a Mumbai children’s hospital for 25 years. She wrote to her younger, “partially sighted” self that, “The future is ahead and it is not bad!” She goes on to say, “Be fearless but be compassionate to yourself and others… be brave, keep your eyes and ears open and face the world happily. What if there are limitations? Work through them with awareness. —Yours, Chitra”
Links and resources for women in STEM, courtesy of D.N. Lee
Stay tuned for the April Diversity in Science Carnival #15: Confronting the Imposter Syndrome. This topic promises to resonate for many groups in science. I’m pretty sure we’ve all felt at least of twinge of imposter syndrome at some point in our education and careers. Your editor for this carnival will be the inimitable Scicurious, who blogs at Scientific American and Scientopia.
UPDATE: Carnival #15 is now available! Go read about imposter syndrome, why it happens, who has it, and what you can do about it.
The stormy landscape of the breast, as seen on ultrasound. At top center (dark circle) is a small cyst. Source: Wikimedia Commons. Credit: Nevit Dilmen.
By Laura Newman, contributor
In a unanimous decision, FDA has approved the first breast ultrasound imaging system for dense breast tissue “for use in combination with a standard mammography in women with dense breast tissue who have a negative mammogram and no symptoms of breast cancer.” Patients should not interpret FDA’s approval of the somo-v Automated Breast Ultrasound System as an endorsement of the device as necessarily beneficial for this indication and this will be a thorny concept for many patients to appreciate.
If the approval did not take place in the setting of intense pressure to both inform women that they have dense breasts and lobbying to roll out all sorts of imaging studies quickly, no matter how well they have been studied, it would not be worth posting.
Dense breasts are worrisome to women, especially young women (in their 40s particularly) because they have proved a risk factor for developing breast cancer. Doing ultrasound on every woman with dense breasts, though, who has no symptoms, and a normal mammogram potentially encompasses as many as 40% of women undergoing screening mammography who also have dense breasts, according to the FDA’s press release. Dense breast tissue is most common in young women, specifically women in their forties, and breast density declines with age.
The limitations of mammography in seeing through dense breast tissue have been well known for decades and the search has been on for better imaging studies. Government appointed panels have reviewed the issue and mammography for women in their forties has been controversial. What’s new is the “Are You Dense?” patient movement and legislation to inform women that they have dense breasts.
Merits and pitfalls of device approval
The approval of breast ultrasound hinges on a study of 200 women with dense breast evaluated retrospectively at 13 sites across the United States with mammography and ultrasound. The study showed a statistically significant increase in breast cancer detection when ultrasound was used with mammography.
Approval of a device of this nature (noninvasive, already approved in general, but not for this indication) does not require the company to demonstrate that use of the device reduces morbidity or mortality, or that health benefits outweigh risks.
Eitan Amir, MD, PhD, medical oncologist at Princess Margaret Hospital, Toronto, Canada, said: “It’s really not a policy decision. All this is, is notice that if you want to buy the technology, you can.”
That’s clearly an important point, but not one that patients in the US understand. Patients hear “FDA approval” and assume that means a technology most certainly is for them and a necessary add-on. This disconnect in the FDA medical device approval process and in what patients think it means warrants an overhaul or at the minimum, a clarification for the public.
Materials for FDA submission are available on the FDA website, including the study filed with FDA and a PowerPoint presentation, but lots of luck, finding them quickly. “In the submission by Sunnyvale CA uSystems to FDA, the company stated that screening reduces lymph node positive breast cancer,” noted Amir. “There are few data to support this comment.”
Is cancer detection a sufficient goal?
In the FDA study, more cancers were identified with ultrasound. However, one has to question whether breast cancer detection alone is meaningful in driving use of a technology. In the past year, prostate cancer detection through PSA screening has been attacked because several studies and epidemiologists have found that screening is a poor predictor of who will die from prostate cancer or be bothered by it during their lifetime. We seem to be picking up findings that don’t lead to much to worry about, according to some researchers. Could new imaging studies for breast cancer suffer the same limitation? It is possible.
Another question is whether or not the detected cancers on ultrasound in the FDA study would have been identified shortly thereafter on a routine mammogram. It’s a question that is unclear from the FDA submission, according to Amir.
One of the problems that arises from excess screening is overdiagnosis, overtreatment, and high-cost, unaffordable care. An outcomes analysis of 9,232 women in the US Breast Cancer Surveillance Consortium led by Gretchen L. Gierach, PhD, MPH, at the National Institutes of Health MD, and published online in the August 21 Journal of the National Cancer Institute, revealed: “High mammographic breast density was not associated with risk of death from breast cancer or death from any cause after accounting for other patient and tumor characteristics.” –Gierach et al., 2012
Proposed breast cancer screening tests
Meanwhile, numerous imaging modalities have been proposed as an adjunct to mammography and as potential replacements for mammography. In 2002, proponents of positron emission tomography (PET) asked Medicare to approve pet scans for imaging dense breast tissue, especially in Asian women. The Medicare Coverage Advisory Commission heard testimony, but in the end, Medicare did not approve it for the dense-breast indication.
PET scans are far less popular today, while magnetic resonance imaging (AKA MR, MRI) and imaging have emerged as as adjuncts to mammography for women with certain risk factors. Like ultrasound, the outcomes data is not in the bag for screening with it.
In an interview with Monica Morrow, MD, Chief of Breast Surgery at Memorial Sloan-Kettering Cancer Center, New York, several months ago concerning the rise in legislation to inform women about dense breasts, which frequently leads to additional imaging studies, she said: “There is no good data that women with dense breasts benefit from additional MR screening.” She is not the only investigator to question potentially deleterious use of MR ahead of data collection and analysis. Many breast researchers have expressed fear that women will opt for double mastectomies, based on MR, that in the end, may have been absolutely unnecessary.
“There is one clear indication for MR screening,” stressed Morrow, explaining that women with BRCA mutations should be screened with MRI. “Outside of that group, there was no evidence that screening women with MR was beneficial.”
At just about every breast cancer meeting in the past two years, the benefits and harms of MR and other proposed screening modalities come up, and there is no consensus in the field. It should be noted, though, that plenty of breast physicians are skeptical about broad use of MR– not just generalists outside of the field. In other words, it is not breast and radiology specialists versus the US Preventive Services Task Force – a very important message for patients to understand.
One thing is clear: as these new technologies gain FDA approval, it will be a windfall for industry. If industry is successful and doctors are biased to promoting these tests, many may offer them on the estimated 40% of women with dense breasts who undergo routine mammograms, as well as other women evaluated as having a high lifetime risk. The tests will be offered in a setting of unclear value and uncertain harms. Even though FDA has not approved breast MRI for screening dense breasts, breast MR is being used off label and it is far more costly than mammography.
When patients raise concerns about the unaffordability of medical care, they should be counseled about the uncertain benefit and potential harms of such a test. That may be a tall bill for most Americans to consider: it’s clear that the more is better philosophy is alive and well. Early detection of something, anything, even something dormant, going nowhere, is preferable to skipping a test, and risking who-knows-what, and that is something, most of us cannot imagine at the outset.
[Today’s post is from Patient POV, the blog of Laura Newman, a science writer who has worked in health care for most of her adult life, first as a health policy analyst, and as a medical journalist for the last two decades. She was a proud member of the women’s health movement. She has a longstanding interest in what matters to patients and thinks that patients should play a major role in planning and operational discussions about healthcare. Laura’s news stories have appeared in Scientific American blogs, WebMD Medical News, Medscape, Drug Topics, Applied Neurology, Neurology Today, the Journal of the National Cancer Institute, The Lancet, and BMJ, and numerous other outlets. You can find her on Twitter @lauranewmanny.] Ed note: The original version of this post contains a posted correction that is incorporated into the version you’ve read here.
The opinions in this article do not necessarily conflict with or reflect those of the DXS editorial team.
[Today we have a wonderful guest post from Marie-Claire Shanahan, continuing the conversation about what makes someone a good role model in science. This post first appeared at Shanahan’s science education blog, Boundary Vision, and she has graciously agreed to let us share it here, too. Shanahan is an Associate Professor of Science Education and Science Communication at the University of Alberta where she researches social aspects of science such as how and why students decide to pursue science degrees. She teaches courses in science teaching methods, scientific language and sociology of science. Marie-Claire is also a former middle and high school science and math teacher and was thrilled last week when one of her past sixth grade students emailed to ask for advice on becoming a science teacher. She blogs regularly about science education at Boundary Visionand about her love of science and music at The Finch & Pea.] What does it mean to be a good role model? Am I a good role model? Playing around with kids at home or in the middle of a science classroom, adults often ask themselves these questions, especially when it come to girls and science. But despite having asked them many times myself, I don’t think they’re the right questions. Studying how role models influence students shows a process that is much more complicated than it first seems. In some studies, when female students interact with more female professors and peers in science, their own self-concepts in science can be improved . Others studies show that the number of female science teachers at their school seems to have no effect . Finding just the right type of role model is even more challenging. Do role models have to be female? Do they have to be of the same race as the students? There is often an assumption that even images and stories can change students’ minds about who can do science. If so, does it help to show very feminine women with interests in science like thescience cheerleaders? The answer in most of these studies is, almost predictably, yes and no. Diana Betz and Denise Sekaquaptewa’s recent study “My Fair Physicist: Feminine Math and Science role models demotivate young girls” seems to muddy the waters even further, suggesting that overly feminine role models might actually have a negative effect on students.  The study caught my eye when PhD studentSara Callori wrote about it and shared that it made her worry about her own efforts to be a good role model. Betz and Sekaquaptewa worked with two groups of middle school girls. With the first group (144 girls, mostly 11 and 12 years old) they first asked the girls for their three favourite school subjects and categorized any who said science or math as STEM-identified (STEM: Science, Technology, Engineering and Math). All of the girls then read articles about three role models. Some were science/math role models and some were general role models (i.e., described as generally successful students). The researchers mixed things even further so that some of the role models were purposefully feminine (e.g., shown wearing pink and saying they were interested in fashion magazines) and others were supposedly neutral (e.g., shown wearing dark colours and glasses and enjoying reading).* There were feminine and neutral examples for both STEM and non-STEM role models. After the girls read the three articles, the researchers asked them about their future plans to study math and their current perceptions of their abilities and interest in math.** For the most part, the results were as expected. The STEM-identified girls showed more interest in studying math in the future (not really a surprise since they’d already said math and science were their favourite subjects) and the role models didn’t seem to have any effect. Their minds were, for the most part, already made up. What about the non-STEM identified girls, did the role models help them? It’s hard to tell exactly because the researchers didn’t measure the girls’ desire to study math before reading about the role models. It seems though that reading about feminine science role models took away from their desire to study math both in the present and the future. Those who were non-STEM identified and read about feminine STEM role models rated their interest significantly lower than other non-STEM identified girls who read about neutral STEM role models and about non-STEM role models. A little bit surprising was the additional finding that the feminine role models also seemed to lower STEM-identified girls current interest in math (though not their future interest). The authors argue that the issue is unattainability. Other studies have shown that role models can sometimes be intimidating. They can actually turn students off if they seem too successful, such that their career or life paths seem out of reach, or if students can write them off as being much more talented or lucky than themselves. Betz and Sekaquaptewa suggest that the femininity of the role models made them seem doubly successful and therefore even more out of the students’ reach.
The second part of the study was designed to answer this question but is much weaker in design so it’s difficult to say what it adds to the discussion. They used a similar design but with only the STEM role models, feminine and non-feminine (and only 42 students, 20% of whom didn’t receive part of the questionnaire due to an error). The only difference was instead of asking about students interest in studying math they tried to look at the combination of femininity and math success by asking two questions:
“How likely do you think it is that you could be both as successful in math/science AND as feminine or girly as these students by the end of high school?” (p. 5)
“Do being good at math and being girly go together?” (p. 5)
Honestly, it’s at this point that the study loses me. The first question has serious validity issues (and nowhere in the study is the validity of the outcome measures established). First, there are different ways to interpret the question and for students to decide on a rating. A low rating could mean a student doesn’t think they’ll succeed in science even if they really want to. A low rating could also mean that a student has no interest in femininity and rejects the very idea of being successful at both. These are very different things and make the results almost impossible to interpret.
Second these “successes” are likely different in kind. Succeeding in academics is time dependent and it makes sense to ask young students if they aspire to be successful in science. Feminine identity is less future oriented and more likely to be seen as a trait rather a skill that is developed. It probably doesn’t make sense to ask students if they aspire to be more feminine, especially when femininity has been defined as liking fashion magazines and wearing pink.
Question: Dear student, do you aspire to grow up to wear more pink?
Answer (regardless of femininity): Um, that’s a weird question.
With these questions, they found that non-STEM identified girls rated themselves as unlikely to match the dual success of the feminine STEM role models. Because of the problems with the items though, it’s difficult to say what that means. The authors do raise an interesting question about unattainability, though, and I hope they’ll continue to look for ways to explore it further.
So, should graduate students like Sara Callori be worried? Like lots of researchers who care deeply about science, Sara expressed a commendable and strong desire to make a contribution to inspiring young women in physics (a field that continues to have a serious gender imbalance). She writes about her desire to encourage young students and be a good role model:
When I made the decision to go into graduate school for physics, however, my outlook changed. I wanted to be someone who bucked the stereotype: a fashionable, fun, young woman who also is a successful physicist. I thought that if I didn’t look like the stereotypical physicist, I could be someone that was a role model to younger students by demonstrating an alternative to the stereotype of who can be a scientist. …This study also unsettled me on a personal level. I’ve long desired to be a role model to younger students. I enjoy sharing the excitement of physics, especially with those who might be turned away from the subject because of stereotypes or negative perceptions. I always thought that by being outgoing, fun, and yes, feminine would enable me to reach students who see physics as the domain of old white men. These results have me questioning myself, which can only hurt my outreach efforts by making me more self conscious about them. They make me wonder if I have to be disingenuous about who I am in order to avoid being seen as “too feminine” for physics.
To everyone who has felt this way, my strong answer is: NO, please don’t let this dissuade you from outreach efforts. Despite results like this, when studies look at the impact of role models in comparison to other influences, relationships always win over symbols. The role models that make a difference are not the people that kids read about in magazines or that visit their classes for a short period of time. The role models, really mentors, that matter are people in students’ lives: teachers, parents, peers, neighbours, camp leaders, and class volunteers. And for the most part it doesn’t depend on their gender or even their educational success. What matters is how they interact with and support the students. Good role models are there for students, they believe in their abilities and help them explore their own interests.
My advice? Don’t worry about how feminine or masculine you are or if you have the right characteristics to be a role model, just get out there and get to know the kids you want to encourage. Think about what you can do to build their self-confidence in science or to help them find a topic they are passionate about. When it comes to making the most of the interactions you have with science students, there are a few tips for success (and none of them hinge on wearing or not wearing pink):
§ Be supportive and encouraging of students’ interest in science. Take their ideas and aspirations seriously and let them know that you believe in them. This turns out to be by far one of the most powerfulinfluences in people pursuing science. If you do one thing in your interactions with students, make it this.
§Share with students why you love doing science. What are the benefits of being a scientist such as contributing to improving people’s lives or in solving difficult problems? Students often desire careers that meet these characteristics of personal satisfaction but don’t always realize that being a scientist can be like that.
§Don’t hide the fact that there are gender differences in participation in some areas of science (especially physics and engineering). Talk honestly with students about it, being sure to emphasize that differences in ability are NOT the reason for the discrepancies. Talk, for example, about evidence that girls are not given as many opportunities to explore and play with mechanical objects and ask them for their ideas about why some people choose these sciences and others don’t. There are so many ways to encourage and support students in science, don’t waste time worrying about being the perfect role model. If you’re genuinely interested in taking time to connect with students, you are already the right type.
* There are of course immediate questions about how well supported these are as feminine characteristics but I’m willing to allow the researchers that they could probably only choose a few characteristics and had to try to find things that would seem immediately feminine to 11-12 year olds. I still think it’s a shallow treatment of femininity, one that disregards differences in cultural and class definitions of femininity. (And I may or may not still be trying to sort out my feelings about being their gender neutral stereotype, says she wearing grey with large frame glasses and a stack of books beside her).
**The researchers unfortunately did not distinguish between science and math, using them interchangeably despite large differences in gender representation and connections to femininity between biological sciences, physical sciences, math and various branches of engineering.
 Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM).Journal of Personality and Social Psychology, 100, 255-270.
 Gilmartin, S., Denson, N., Li, E., Bryant, A., & Aschbacher, P. (2007). Gender ratios in high school science departments: The effect of percent female faculty on multiple dimensions of students’ science identities.Journal of Research in Science Teaching, 44, 980–1009.
 Betz, D., & Sekaquaptewa, D. (2012). My Fair Physicist? Feminine Math and Science Role Models Demotivate Young Girls Social Psychological and Personality Science DOI: 10.1177/1948550612440735
Buck, G. A., Leslie-Pelecky, D., & Kirby, S. K. (2002). Bringing female scientists into the elementary classroom: Confronting the strength of elementary students’ stereotypical images of scientists. Journal of Elementary Science Education, 14(2), 1-9.
Buck, G. A., Plano Clark, V. L., Leslie-Pelecky, D., Lu, Y., & Cerda-Lizarraga, P. (2008). Examining the cognitive processes used by adolescent girls and women scientists in identifying science role models: A feminist approach. Science Education, 92, 2–20.
Cleaves, A. (2005). The formation of science choices in secondary school.International Journal of Science Education, 27, 471–486.
Ratelle, C.F., Larose, S., Guay, F., & Senecal, C. (2005). Perceptions of parental involvement and support as predictors of college students’ persistence in a science curriculum. Journal of Family Psychology, 19, 286–293.
Simpkins, S. D., Davis-Kean, P. E., & Eccles, J. S. (2006). Math and science motivation: A longitudinal examination of the links between choices and beliefs. Developmental Psychology, 42, 70–83.
Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. (2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept and professional goals in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100,255–270.
For decades, biology textbooks have stated this as fact: “Women are born with all the eggs, or oocytes they will ever have.”1 The assumption — which shapes research on infertility and developmental biology, as well as women’s mindsets about their biological clocks — is that as women age, they use up those reserves they are born with. With each menstrual cycle, egg by egg, the stockpile wears down.
But is it true that women can’t produce any new oocytes in their adult life? Over the past decade, some scientists have begun to question the long-held assumption, publishing evidence that they can isolate egg-producing stem cells from adult human ovaries.
Last week, biologist Allan Spradling of the Howard Hughes Medical Institute and Carnegie Institution for Science, cast a shadow over those findings with a new analysis of the ovaries of adult female mice, which have similar reproductive systems to humans. By his measures of new egg formation, which he has previously studied and characterized during fetal development, there were no signs of activity in the adults.
“Personally, I think it’s quite clear,” says Spradling. “All the evidence has always said this. When oocyte development is going on, you see cysts everywhere. When you look at adults, you don’t see any.”
An oocyte, or egg cell, surrounded by some supporting cells.
The new paper does little to change the direction of those researchers already pursuing the stem cells, though. Jonathan Tilly of Massachusetts General Hospital was among the first to publish evidence that mice and human females have adult germ-line stem cells that can make new eggs.
“There’s so much evidence now from so many labs that have purified these cells and worked with these cells,” says Tilly. “What I don’t find of value is to say these cells don’t exist.”
For now, the two sides remain fractured — Spradling sees weaknesses in the way Tilly and others have isolated cells from the ovaries and suspects that the properties of the cells could change when they’re outside the body. And Tilly proposes that Spradling’s new data could be interpreted in a different way that in fact supports the presence of stem cells.
For women hoping for a scientific breakthrough to treat infertility — or even those simply curious about how their own body works — a consensus on the answer would be nice. But the continued probing on both sides may be just as much a boon to women’s health. After all, it’s questions like these that drive science forward.
In his new study, Spradling labeled a spattering of cells in the ovaries of female mice with fluorescent markers to make them visible and watched them as the mice aged. If any labeled cells were egg-producing stem cells, he says, they would spread the fluorescence as they made clusters of new eggs.
“But you never see clusters,” Spradling says. “Not once.”
In the process of this study, though, Spradling made new observations about how egg cells develop into their final form in female mice, published in a second paper this month. As the precursor cells to eggs mature, they lump together into cysts, a phenomenon also seen in the flies that Spradling has spent decades studying. In flies, one cyst eventually forms one egg. But in the mice, he discovered, those cysts break apart and form multiple eggs.
“This actually leads us to propose a new mechanism for what determines the number of oocytes,” says Spradling. And, of course, that means a better understanding of reproductive biology.
On the side of those who are confident about the existence of adult ovarian stem cells, the field of fertility medicine could be revolutionized if the cells that Tilly has isolated from ovaries can form healthy egg cells that can be fertilized in vitro. These stem cells could also be a tool to study more basic questions on oocyte development and formation or a screening platform for fertility drugs. Tilly is confident enough in the research that he has founded a company, OvaScience, to pursue the commercial and clinical potential of isolating the stem cells.
“The value for the lay public is that we have a new tool in our arsenal,” says Tilly.
Spradling doesn’t argue that continued research in this area isn’t a good thing. “Scientific knowledge doesn’t just come from the proposal of ideas, but also from their rigorous tests,” he says. “I think the most powerful tool we have in medical science is basic research,” he adds, referencing research using cell and animal studies. Investigations of the basics of how and when oocytes form, he says, are the best way forward toward developing ways to improve egg cell formation or development and could even lead to infertility treatments.
So if it finds support from further studies, Spradling’s new work — which states bluntly right in its title that “Female mice lack adult germ-line stem cells” — needn’t be seen as bad news for those dreaming of a breakthrough in understanding fertility. Instead, whether or not egg stem cells end up having clinical value, it’s a step forward in advancing understanding about women’s reproductive biology.
As Spradling puts it: “You have a much better chance of actually helping someone with infertility if you know what the real biology is. Right now, we’re a ways from really understanding the full biology, but we’re making progress.”
1 Direct quote from the third edition of “Human Physiology: An Integrated Approach”, one published by Pearson Education in 2004 and used in medical school classes. Continue reading →
When I take a look around my office I see a lot of men, mostly older White men. There are also women, mostly administrative assistants, accountants, and marketing personnel, but few like me. I am an engineer, and I am young, female, Ivy League educated, and Hispanic. I took the same science and mathematics classes all my male peers took. I was given the same tests, the same homework assignments, and the same projects. Yet, every day I have to battle stereotypes of what some think women should be.
Courtesy of Indiana University.
Engineering, and most science fields, have long been male-dominated professions. Yet, in spite of traditional gender roles pigeonholing women to domestic duties, women haven’t necessarily settled into domesticity without first making many great advances in the science fields. We cannot forget Merit-Ptah, an ancient Egyptian physician, and also the first woman to be known by name in the history of the field of Medicine. Or the ancient Greek philosopher Hypatia, also the first historically noted woman in Mathematics. These women were not given positions in Science to fill a status quo, they earned it, just like women today.
Stereotypes are part of my daily life. In high school I was discouraged by a school teacher to apply to Engineering school, because she claimed it was “harder than I was imagining it to be.” She told me that I wanted to pursue a degree in Engineering because of the money I would earn, but it was clear to her that I did not have a passion for it. Never mind that I outperformed all my classmates, including all my male peers, and that I was about to graduate at the top of my class. As a professional adult, I still face these misconceptions about women in science fields. I get my bosses’ mail delivered to me every day because the delivery man, after four years, still thinks that I am a secretary. I politely remind him every day that I am in fact, also an engineer, like my boss, but it seems to fall on deaf ears. So I find myself not only doing my work, but also delivering mail. A week ago I was asked by a new employee which department I belonged in, and the conversation went like this:
Me: “Hi, are you new to our office?”
New Employee: “Yes, I work in the Marketing department. Do you work with Corporate?”
Me: “No, I work in the Transportation and Infrastructure department.”
New Employee: “Are you an administrative assistant?”
Me: “No, an Engineer.”
New Employee: “Oh, you’re an Accountant.”
Me: “Noooo, an Engineer, a Civil Engineer!”
New Employee: “Oh, wow! I would have never guessed…you don’t look like one.”
While I admit to becoming irritated, it was more disconcerting that this co-worker was also a young woman like myself. She reacted in a way that was natural and all too common, because there really aren’t enough women being positively represented in the fields of Science, Technology, Engineering, and Mathematics (STEM). I quite enjoy shaking up perceived ideas of what society assumes I should be, as a woman, a woman of color, and a woman in a male-dominated field, but when will all this shock and awe over women in science fields end? Nonetheless, I love the work I do and the feeling of accomplishment I get when I finish a project. And contrary to 18th century views of the female brain, we have shown that when given the same curriculum as men, we can equally excel.
According to a research study done by the University of Washington, the main culprit for girls not becoming enthusiastic about careers in mathematics and science is gender-stereotyping. The study speaks of the widespread cultural belief in the “girls don’t do math” stereotype. In the study, 247 school-age children (126 girls and 121 boys) were asked to sort four kinds of words: boy names, girl names, math words and reading words, into categories, with the use of an adapted keyboard on a laptop. The lead author of the study, Dario Cvencek, concluded that: “Not only do girls identify the stereotype that math is for boys, but they apply that to themselves. That’s the concerning part. Girls are translating that to mean, ‘Math is not for me.’”
While the study found that both genders equate mathematics with boys, it is unclear why this stereotype is so pronounced at such a young age, though there seems to be a connection with the way in which we speak to young children about mathematics. Dario Cvencek explains: “When a girl does poorly on a math test, often she’s told, ‘That’s fine. You did your best.’ When a boy does poorly, he is more likely to be told, ‘You can do better. Try harder next time.’”
Stereotypes are hurtful, and I believe that stereotype threat, the notion that we experience anxiety in a situation where we have the potential to confirm a negative stereotype, is all too real. We cannot expect young girls to be interested in pursuing careers in science, technology, engineering, and mathematics, if we continue to associate them with one gender. Stereotyping career choices is not in our best interest as we cannot achieve success if we believe that half of our population is not capable of contributing to the betterment of our society. I challenge every educator and parent to reevaluate the way they educate their children. Think about the toys we give them. Building blocks and other shape-sorting toys are equally entertaining for girls as they are for boys, and they help develop cognitive skills, something Barbie and Easy-Bake Ovens will never achieve. Teaching is powerful, and encouraging children to challenge themselves should not depend on the child’s gender.
I am passionate about increasing the number of women represented in STEM fields, not merely because I believe we should be equally represented in all career fields, but because I know we can positively contribute to the advancement of our society. Having both sexes equally represented opens the door for a more diverse range of ideas, which in turn can result in a more robust range of services and products. Additionally, having more women in STEM fields ensures that women’s health and well-being become common practice, and not women’s issues.
Careers in STEM fields require high-level skills and earn higher wages, they are also always in high demand, and experts predicts an even stronger demand for professionals in STEM fields in the future. Our economy is in crisis and 60% of women are the breadwinners or co-breadwinners in their families. If we continue to believe that these high paying careers are only for men, we are not cashing in on the earning power of women. Ultimately, it is not about filling a status quo, it is about using our population, men and women, to the best of their abilities.
Patricia Valoy is a Civil Engineer and an Assistant Project Manager at STV, an architectural, engineering, planning, environmental and construction management firm based in New York City. She is a graduate of the Columbia University School of Engineering in Applied Science, where she majored in Civil Engineering with a concentration in Construction Management. Patricia also is a co-host of a weekly radio show called, “Let Your Voice Be Heard.” The show’s mission is to spread awareness of social and political issues. In addition, she writes a blog about feminist issues and mentors high school and college students interested in pursuing careers in STEM fields. You can follow Patricia on Twitter at @besito86 and read her blog at www.patriciavaloy.blogspot.com.